'+pages+''); $('.stream > div:odd').addClass('bgr_color'); updateHeight('#history'); }); window.activateTabArea = ensure(function(tab, areas){ var parsed = false; var parts = (areas || '').split('/'); window.fsonload = $.inArray('fs', parts) >= 0; if(fsonload){ parts.splice(parts.indexOf('fs'), 1); } var replayMode = false; if($.inArray('replay', parts)>=0){ replayMode = 'replay'; } var noSoundMode = false; if($.inArray('nosound', parts)>=0){ noSoundMode = 'nosound'; } if($.inArray('ns', parts)>=0){ noSoundMode = 'ns'; } var previewMode = null; if($.inArray('p', parts)>=0){ previewMode = 'p'; } if($.inArray('preview', parts)>=0){ previewMode = 'preview'; } if($.inArray('repeat', parts)>=0){ replayMode = 'repeat'; } if($.inArray('r', parts)>=0 || $.inArray('ro', parts)>=0){ replayMode = 'r'; } if(replayMode){ parts.splice(parts.indexOf(replayMode), 1); } if(noSoundMode){ parts.splice(parts.indexOf(noSoundMode), 1); } if(previewMode){ parts.splice(parts.indexOf(previewMode), 1); } if(previewMode){ if(!parts.length){ parts = ['1-14', '999:59']; } } var area = parts[0]; if(tab == 'history' && false){ var page = parseInt(area || '1') || 1; $.ajax({ url: 'https://login.wn.com/recent/json/?pp='+history_pp+'&skip='+history_pp*(page-1), dataType: 'jsonp', success: function(response){ $ensure(function(){ renderHistory(response, page); }); } }); return true; } if(tab == 'global_history' && false){ var page = parseInt(area || '1') || 1; globalHistory.fetchStream(page, '', function(){ updateHeight('#global_history'); }); return true; } if(tab == 'my_playlists' && false){ var page = parseInt(area || '1') || 1; myPlaylists.fetchStream(page, '', function(){ updateHeight('#my_playlists'); }); return true; } if(tab == 'my_videos' && false){ var page = parseInt(area || '1') || 1; myVideos.fetchStream(page, '', function(){ updateHeight('#my_videos'); }); return true; } if(tab == 'related_sites' && areas && matchPosition(areas)){ var seconds = parsePosition(areas); scrollRelated(seconds); return false; } if(matchPosition(area) || matchAction(area)){ parts.unshift('1'); area = parts[0]; } if(tab == 'expand' && area && area.match(/\d+/)) { var num = parseInt(area); if(num < 100){ //FIX ME. 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Load timeline page with ajax here } } else if(tab.match(/^playlist\d+$/)){ var playerId = parseInt(tab.substring(8)); var vp = videoplayers[playerId]; window.descriptionsholder = $('.descriptionsplace'); if(!vp) return; // why? no player? if(replayMode){ $('.replaycurrent'+playerId).attr('checked', true); vp.setReplayCurrent(true); } var playQueue = []; window.playQueue = playQueue; var playQueuePosition = 0; var playShouldStart = null; var playShouldStop = null; var parseList = function(x){ var items = x.split(/;|,/g); var results = []; for (i in items){ try{ var action = parseAction(vp, items[i]); if(!action.video){ if(window.console && console.log) console.log("Warning: No video for queued entry: " + items[i]); }else{ results.push(action); } }catch(e){ if(window.console && console.log) console.log("Warning: Can''t parse queue entry: " + items[i]); } } return results; }; var scrollToPlaylistPosition = function(vp){ var ppos = vp.getPlaylistPosition(); var el = vp.playlistContainer.find('>li').eq(ppos); var par = el.closest('.playlist_scrollarea'); par.scrollTop(el.offset().top-par.height()/2); } var updateVolumeState = function(){ if(noSoundMode){ if(noSoundMode == 'turn-on'){ clog("Sound is on, vsid="+vp.vsid); vp.setVolumeUnMute(); noSoundMode = false; }else{ clog("Sound is off, vsid="+vp.vsid); vp.setVolumeMute(); noSoundMode = 'turn-on'; } } } var playQueueUpdate = function(){ var playPosition = playQueue[playQueuePosition]; vp.playFromPlaylist(playPosition.video); scrollToPlaylistPosition(vp); playShouldStart = playPosition.start; playShouldStop = playPosition.stop; }; var playQueueAdvancePosition = function(){ clog("Advancing play position..."); playQueuePosition ++; while(playQueuePosition < playQueue.length && !playQueue[playQueuePosition].video){ playQueuePosition ++; } if(playQueuePosition < playQueue.length){ playQueueUpdate(); }else if(vp.getReplayCurrent()){ playQueuePosition = 0; playQueueUpdate(); vp.seekTo(playShouldStart); vp.playVideo(); }else{ vp.pauseVideo(); playShouldStop = null; playShouldStart = null; } }; function loadMoreVideos(playerId, vp, start, finish, callback){ var playlistInfo = playlists[playerId-1]; if(playlistInfo.loading >= finish) return; playlistInfo.loading = finish; $.ajax({ url: '/api/upge/cheetah-photo-search/query_videos2', dataType: 'json', data: { query: playlistInfo.query, orderby: playlistInfo.orderby, start: start, count: finish-start }, success: function(response){ var pl = vp.getPlaylist().slice(0); pl.push.apply(pl, response); vp.setPlaylist(pl); callback(); } }); } if(parts.length == 1 && matchDash(parts[0])){ var pl = vp.getActualPlaylist(); var vids = parseDash(parts[0]); parts = []; for(var i = 0; i < vids.length; i++){ playQueue.push({ 'video': pl[vids[i]-1], 'start': 0, 'stop': null }) } if(vids.length){ if(vids[vids.length-1]-1>=pl.length){ loadMoreVideos(playerId, vp, pl.length, vids[vids.length-1], function(){ if(fsonload){ activateTabArea(tab, parts[0]+'/fs'); }else{ activateTabArea(tab, parts[0]); } var pls = vp.getPlaylist(); vp.playFromPlaylist(pls[pls.length-1]); vp.playVideo(); scrollToPlaylistPosition(vp); }); return true; } } if(playQueue){ playQueueUpdate(); vp.playVideo(); parsed = true; playShouldStart = 0; } } if(previewMode){ var vids = []; var dur = 0; var pl = vp.getActualPlaylist(); area = parts[0]; if(parts.length == 1 && matchPosition(parts[0])){ vids = parseDash('1-'+pl.length); dur = parsePosition(parts[0]); parts = []; }else if(parts.length == 1 && matchDash(parts[0])){ vids = parseDash(parts[0]); dur = parsePosition("999:59"); parts = []; } if(parts.length == 2 && matchDash(parts[0]) && matchPosition(parts[1])){ vids = parseDash(parts[0]); dur = parsePosition(parts[1]); parts = []; } for(var i = 0; i < vids.length; i++){ playQueue.push({ 'video': pl[vids[i]-1], 'start': 0, 'stop': dur }) } if(playQueue){ playQueueUpdate(); vp.playVideo(); parsed = true; } } if(parts.length>1){ for(var i = 0; i < parts.length; i++){ var sel = findMatchingVideo(vp, parts[i]); if(sel){ playQueue.push({ 'video': sel, 'start': 0, 'stop': null }) } } if(playQueue){ playQueueUpdate(); vp.playVideo(); parsed = true; } }else if(area){ var sel = findMatchingVideo(vp, area); if(sel){ vp.playFromPlaylist(sel); playShouldStart = 0; parsed = true; } } if(fsonload || replayMode){ playShouldStart = 0; } if(document.location.search.match('at=|queue=')){ var opts = document.location.search.replace(/^\?/,'').split(/&/g); for(var o in opts){ if(opts[o].match(/^at=(\d+:)?(\d+:)?\d+$/)){ playShouldStart = parsePosition(opts[o].substr(3)) } if(opts[o].match(/^queue=/)){ playQueue = parseList(opts[o].substr(6)); if(playQueue){ playQueuePosition = 0; playQueueUpdate(); } } } } if(matchPosition(parts[1])){ playShouldStart = parsePosition(parts[1]); parsed = true; } if(matchAction(parts[1])){ var action = parseAction(vp, area+'/'+parts[1]); playShouldStart = action.start; playShouldStop = action.stop; parsed = true; } if(playShouldStart !== null && !playQueue.length){ playQueue.push({ video: vp.getCurrentVideo(), start: playShouldStart, stop: playShouldStop }); } if(playShouldStart != null){ setInterval(function(){ if(playShouldStop && vp.currentPlayer && vp.currentPlayer.getCurrentTime() > playShouldStop){ playShouldStop = null; if(vp.getCurrentVideo() == playQueue[playQueuePosition].video){ playQueueAdvancePosition(); }else{ playShouldStart = null; } } }, 500); vp.playerContainer.bind('videoplayer.player.statechange', function(e, state){ if(state == 'ended'){ // advance to the next video playQueueAdvancePosition(); } }); vp.playerContainer.bind('videoplayer.player.readychange', function(e, state){ if(state){ updateVolumeState(); if(playShouldStart !== null){ vp.seekTo(playShouldStart); playShouldStart = null; }else{ playShouldStop = null; // someone started other video, stop playing from playQueue } } if(fsonload) { triggerFullscreen(playerId); fsonload = false; } }); } } else if(tab.match(/^wiki\d+$/)){ if(firstTimeActivate){ load_wiki($('#'+tab), function(){ if(area){ var areaNode = $('#'+area); if(areaNode.length>0){ $('html, body').scrollTop(areaNode.offset().top + 10); return true; } } }); } } return parsed; }) window.activateTab = ensure(function(tab, area){ window.activeArea = null; if(tab == 'import_videos'){ if(area){ import_videos(area); }else{ start_import(); } return true; } if(tab == 'chat'){ update_chat_position($('.chat').eq(0)); window.activeArea = 'chat'; jQuery('.tabtrigger').offscreentabs('activateTab', 'chat'); return true; } if(tab in rev_names){ tab = rev_names[tab]; } if(tab.match(':')){ return false; } var sup = $('ul li a[id=#'+tab+']'); if(sup && sup.length>0){ window.activeArea = area; sup.first().click(); if(!window.activateTabArea(tab, area)){ window.activeArea = null; } window.activeArea = null; return true; }else{ var have_tabs = $('#playlist_menu li').length; if(tab.match(/^playlists?\d+$/)){ var to_add = +tab.substring(8).replace(/^s/,'')-have_tabs; if(to_add>0 && have_tabs){ add_more_videos(to_add); return true; } } } return false; }); window.currentPath = ensure(function(){ return window.lastHistory.replace(basepath, '').split('?')[0]; }); window.main_tab = window.main_tab || 'videos'; window.addHistory = ensure(function(path){ if(window.console && console.log) console.log("Adding to history: "+path); if(window.history && history.replaceState && document.location.hostname.match(/^(youtube\.)?(\w{2,3}\.)?wn\.com$/)){ if(path == main_tab || path == main_tab+'/' || path == '' || path == '/') { path = basepath; } else if( path.match('^'+main_tab+'/') ){ path = basepath + '/' + path.replace(main_tab+'/', '').replace('--','/'); } else { path = basepath + '/' + path.replace('--','/'); } if(document.location.search){ path += document.location.search; } if(window.lastHistory) { history.pushState(null, null, path); } else if(window.lastHistory != path){ history.replaceState(null, null, path); window.lastHistory = path; } } else{ path = path.replace('--','/'); if(path == main_tab || path == main_tab+'/' || path == '' || path == '/') { path = ''; } if(window.lastHistory != '/'+path){ window.location.hash = path? '/'+path : ''; window.lastHistory = '/'+path; } } }); $('.tabtrigger li a').live('click', ensure(function() { var tab = $(this).attr('id'); if(tab.substring(0,1) == '#'){ var name = tab.substring(1); if(name in menu_names){ name = menu_names[name][0]; } realTab = rev_names[name]; $('#'+realTab).show(); if(window.console && console.log) console.log("Triggering tab: "+name+(window.activeArea?" activeArea="+window.activeArea:'')); var path = name; if(window.activeArea){ path = path + '/' + window.activeArea; } if(tab.match(/#playlist\d+/) || tab.match(/#details\d+/)){ $('.multiple-playlists').show(); $('.related_playlist').show(); $('.longest_videos_playlist').show(); }else { $('.multiple-playlists').hide(); $('.related_playlist').hide(); $('.longest_videos_playlist').hide(); } // start the related script only when the tab is on screen showing if (tab.match(/related_sites/)) { if (mc) { mc.startCredits(); } } window.activeTab = realTab; addHistory(path); setTimeout(ensure(function(){ if(tab.match(/language--/)){ $('.tabtrigger').offscreentabs('activateTab', 'language'); } if(tab.match(/weather/)) { $('.tabtrigger').offscreentabs('activateTab', 'weather'); loadContinent(); } updateMenus(tab); updateHeight(); }), 10); } return false; })); }); -->

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Thursday, 26 December 2024

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  Eda

• remove the playlist
  Eda

• Placement (EDA)
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• Eda (surname)
• List of Black Lagoon characters

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Placement (EDA)

Placement is an essential step in electronic design automation - the portion of the physical design flow that assigns exact locations for various circuit components within the chip’s core area. An inferior placement assignment will not only affect the chip's performance but might also make it nonmanufacturable by producing excessive wirelength, which is beyond available routing resources. Consequently, a placer must perform the assignment while optimizing a number of objectives to ensure that a circuit meets its performance demands. Typical placement objectives include

Total wirelength: Minimizing the total wirelength, or the sum of the length of all the wires in the design, is the primary objective of most existing placers. This not only helps minimize chip size, and hence cost, but also minimizes power and delay, which are proportional to the wirelength (This assumes long wires have additional buffering inserted; all modern design flows do this.)

Timing: The clock cycle of a chip is determined by the delay of its longest path, usually referred to as the critical path. Given a performance specification, a placer must ensure that no path exists with delay exceeding the maximum specified delay.

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This page contains text from Wikipedia, the Free Encyclopedia - https://wn.com/Placement_(EDA)

EDA

EDA or Eda may refer to:

Organizations

Eating Disorders Association, a British medical charity organization, known as beat since February 2007

Economic Development Administration, US agency providing economic grants to communities

Eidgenössisches Departement für auswärtige Angelegenheiten (EDA)

Ejército del Aire, Spanish Air Force

Election Defense Alliance, a voting integrity organization in the United States

Electoral District Association, the official term used by Elections Canada to describe a riding association

Enterprise Desktop Alliance, an organization of vendors promoting the deployment, integration and management of Macs in PC environments

Elektro Dynamisches Anfahrelement (EDA) or Electrodynamic moving-off element, by MAN AG

European Defence Agency, joint defence agency for the European Union

European Delirium Association

Edah, a Modern Orthodox Jewish organisation

European Democratic Alliance, a former political group in the European Parliament

United Democratic Left (EDA), a former Greek leftwing party

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This page contains text from Wikipedia, the Free Encyclopedia - https://wn.com/EDA

Eda (surname)

Eda is a Japanese surname that may refer to:

Satsuki Eda, president of the house of councillors in Japan

Ryoko Eda, Japanese marathon runner

Katsuya Eda, mathematician specializing in set theory and algebraic topology

Kenji Eda, independent Japanese politician

Yasuyuki Eda, Japanese politician in the New Komeito Party

A Jude Eda, young Filipino singer

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This page contains text from Wikipedia, the Free Encyclopedia - https://wn.com/Eda_(surname)

List of Black Lagoon characters

The following is a list of characters from the Japanese manga and anime Black Lagoon.

The Lagoon Company

The Lagoon Company is a mercenary/pirate group that is the main focus of the series. The Lagoon Company is for-hire service that is hired by various criminal organizations to do different jobs like locating and retrieving items and/or smuggling them.

Rokuro "Rock" Okajima

Voiced by: Daisuke Namikawa (Japanese), Brad Swaile (English)

Rokuro Okajima (岡島緑郎, Okajima Rokurō), also known as Rock (ロック, Rokku), is the male protagonist of the series. He was a Japanese salaryman for Asahi Industries in Tokyo until he was taken hostage by the crew of the Black Lagoon during their raid on the ship he was on. He joined the Lagoon Company after his department chief Kageyama abandoned him (Kageyama declared him dead) in an attempt to cover up the smuggling operation in which Rock had been an unwitting participant. Rock is a humble and mild-mannered person despite being on the business end of guns from friend and foe alike, and often seems surprised at the barbarity of the Southeast Asian crime world. He still wears his tie, short-sleeved dress shirt, and dress pants because although now a pirate, he still retains his business persona. He prefers to use words over weapons when interacting with others. Rock, after joining the Lagoon company, has wondered if he is experiencing Stockholm syndrome.

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This page contains text from Wikipedia, the Free Encyclopedia - https://wn.com/List_of_Black_Lagoon_characters

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• views: 32294

Are you ready to unleash the power of data analysis and gain valuable insights in just 5 hours? Look no further! In this comprehensive video course, we'll guide...

Are you ready to unleash the power of data analysis and gain valuable insights in just 5 hours? Look no further! In this comprehensive video course, we'll guide you through the fundamentals of Exploratory Data Analysis (EDA) from scratch, helping you unlock the potential of your data like never before. 📊 Dive into the world of EDA: You'll learn how to navigate and understand your data, identify patterns, and reveal hidden trends. From data visualization techniques to statistical analysis, this course covers it all! 📈 Gain practical knowledge: Our hands-on approach ensures that you not only grasp the theoretical concepts but also apply them to real-world scenarios. Through interactive exercises and examples, you'll develop the skills to clean, preprocess, and analyze data with confidence. 🔍 Uncover valuable insights: EDA is all about uncovering the story behind the data. We'll teach you how to ask the right questions, interpret your findings, and communicate your insights effectively. Whether you're a beginner or an experienced professional, this course will take your data analysis skills to the next level. 𝐓𝐢𝐦𝐞𝐋𝐢𝐧𝐞: ✅ 2:35 Agenda ✅ 5:20 DA/DS Process ✅ 11:58 What is EDA? ✅ 15:16 What is Visualization? ✅ 20:17 Steps in EDA ✅ 20:20 Data Sourcing ✅ 24:50 Data Cleaning ✅ 47:23 Feature Scaling ✅ 1:19:25 Outlier Treatment ✅ 1:42:42 Invalid Data ✅ 1:47:43 Types of Data ✅ 1:50:36 Types of Analysis ✅ 1:51:00 Univariate Analysis ✅ 2:02:26 Bivariate Analysis ✅ 2:07:47 Multivariate Analysis ✅ 2:43:38 Derived Metrics ✅ 2:48:19 Feature Binning ✅ 3:06:03 Feature Encoding ✅ 3:37:41 Case Study 🔴 Code: https://github.com/pik1989/EDA ❤️❤️ Subscribe our YouTube Channel and press the bell icon to get regular updates👇: https://bit.ly/3tt2eNY Join our Telegram Channel For Exclusive Data Science Resources👍 : https://bit.ly/3FzObsk Check Out Our Other Helpful Videos:😍 ➮ Data Analyst vs Data Scientist vs Data Engineer - Roles || Responsibilities & Skills https://bit.ly/3qsg2pL ➮Live Implementation of End To End Machine Learning Project With Deployment | Customer Churn https://bit.ly/3FqPQjF ➮ Build your own Alexa in 30 minutes using Python | NLP | Data Science https://bit.ly/3FFBWdP ✅✅✅ Follow us on: ✌️ 👥 FACEBOOK: https://bit.ly/3I89SB4 📸 INSTAGRAM: https://bit.ly/3GLSvFn 💬 LINKEDIN: https://bit.ly/3fmwmCa 🔴 TELEGRAM: https://bit.ly/3MjBODX 🔴 TELEGRAM Discussion Group: https://bit.ly/3mcusay Hello Friends , I am Satyajit Pattnaik, In my channel you will find every information about Data Science & Analytics which will help you become an expert Data Scientist or a Data Analyst along with which you would enjoy a loads of interesting and useful projects. More & more great stuffs coming soon, keep supporting & learning 🎓 THANKS FOR WATCHING 😊 Music by: https://www.bensound.com License code: OSLSCHN8ZUGZL0W2 satyajit pattnaik,data science,data analytics,machine learning,data analyst,artificial intelligence,Projects,Learn Exploratory Data Analysis (EDA) from Scratch,learn EDA,exploratory data analysis end to end,learn eda end to end,what is eda,how to learn eda from scratch,eda projects,eda satyajit,satyajit pattnaik data,satyajit data analysis,learn eda from scratch,feature binning,feature scaling,univariate analysis,bivariate analysis,outlier treatment

https://wn.com/Learn_Exploratory_Data_Analysis_(Eda)_From_Scratch_|_Eda_In_5_Hours_|_Satyajit_Pattnaik

Are you ready to unleash the power of data analysis and gain valuable insights in just 5 hours? Look no further! In this comprehensive video course, we'll guide you through the fundamentals of Exploratory Data Analysis (EDA) from scratch, helping you unlock the potential of your data like never before. 📊 Dive into the world of EDA: You'll learn how to navigate and understand your data, identify patterns, and reveal hidden trends. From data visualization techniques to statistical analysis, this course covers it all! 📈 Gain practical knowledge: Our hands-on approach ensures that you not only grasp the theoretical concepts but also apply them to real-world scenarios. Through interactive exercises and examples, you'll develop the skills to clean, preprocess, and analyze data with confidence. 🔍 Uncover valuable insights: EDA is all about uncovering the story behind the data. We'll teach you how to ask the right questions, interpret your findings, and communicate your insights effectively. Whether you're a beginner or an experienced professional, this course will take your data analysis skills to the next level. 𝐓𝐢𝐦𝐞𝐋𝐢𝐧𝐞: ✅ 2:35 Agenda ✅ 5:20 DA/DS Process ✅ 11:58 What is EDA? ✅ 15:16 What is Visualization? ✅ 20:17 Steps in EDA ✅ 20:20 Data Sourcing ✅ 24:50 Data Cleaning ✅ 47:23 Feature Scaling ✅ 1:19:25 Outlier Treatment ✅ 1:42:42 Invalid Data ✅ 1:47:43 Types of Data ✅ 1:50:36 Types of Analysis ✅ 1:51:00 Univariate Analysis ✅ 2:02:26 Bivariate Analysis ✅ 2:07:47 Multivariate Analysis ✅ 2:43:38 Derived Metrics ✅ 2:48:19 Feature Binning ✅ 3:06:03 Feature Encoding ✅ 3:37:41 Case Study 🔴 Code: https://github.com/pik1989/EDA ❤️❤️ Subscribe our YouTube Channel and press the bell icon to get regular updates👇: https://bit.ly/3tt2eNY Join our Telegram Channel For Exclusive Data Science Resources👍 : https://bit.ly/3FzObsk Check Out Our Other Helpful Videos:😍 ➮ Data Analyst vs Data Scientist vs Data Engineer - Roles || Responsibilities & Skills https://bit.ly/3qsg2pL ➮Live Implementation of End To End Machine Learning Project With Deployment | Customer Churn https://bit.ly/3FqPQjF ➮ Build your own Alexa in 30 minutes using Python | NLP | Data Science https://bit.ly/3FFBWdP ✅✅✅ Follow us on: ✌️ 👥 FACEBOOK: https://bit.ly/3I89SB4 📸 INSTAGRAM: https://bit.ly/3GLSvFn 💬 LINKEDIN: https://bit.ly/3fmwmCa 🔴 TELEGRAM: https://bit.ly/3MjBODX 🔴 TELEGRAM Discussion Group: https://bit.ly/3mcusay Hello Friends , I am Satyajit Pattnaik, In my channel you will find every information about Data Science & Analytics which will help you become an expert Data Scientist or a Data Analyst along with which you would enjoy a loads of interesting and useful projects. More & more great stuffs coming soon, keep supporting & learning 🎓 THANKS FOR WATCHING 😊 Music by: https://www.bensound.com License code: OSLSCHN8ZUGZL0W2 satyajit pattnaik,data science,data analytics,machine learning,data analyst,artificial intelligence,Projects,Learn Exploratory Data Analysis (EDA) from Scratch,learn EDA,exploratory data analysis end to end,learn eda end to end,what is eda,how to learn eda from scratch,eda projects,eda satyajit,satyajit pattnaik data,satyajit data analysis,learn eda from scratch,feature binning,feature scaling,univariate analysis,bivariate analysis,outlier treatment

• published: 17 Sep 2023
• views: 32294

29:59

Exploratory Data Analysis (EDA) Using Python | Python Data Analysis | Python Training | Edureka

• Order: Reorder
• Duration: 29:59
• Uploaded Date: 29 Apr 2020
• views: 338439

🔥Edureka Python Certification Training: https://www.edureka.co/data-science-python-certification-course This Edureka video on the 'Exploratory Data Analysis Usi...

🔥Edureka Python Certification Training: https://www.edureka.co/data-science-python-certification-course This Edureka video on the 'Exploratory Data Analysis Using Python' will help you understand how we can use Python to perform EDA for significant insights and data-driven conclusions. 🔹Python Tutorial Playlist: https://goo.gl/WsBpKe 🔹Blog Series: http://bit.ly/2sqmP4s ----------------------------------------------------------------------------- 🔴To subscribe to our channel and hit the bell icon to never miss an update from us in the future: https://goo.gl/6ohpTV Edureka Community: https://bit.ly/EdurekaCommunity Instagram: https://www.instagram.com/edureka_learning/ Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka Telegram: https://t.me/edurekaupdates SlideShare: https://www.slideshare.net/EdurekaIN Meetup: https://www.meetup.com/edureka/ #Edureka #PythonEdureka #EDA #exploratorydataanalysis #pythonprojects #pythonprogramming #pythontutorial #PythonTraining ----------------------------------------------------------------------------- How it Works? 1. This is a 5 Week Instructor-led Online Course,40 hours of assignment and 20 hours of project work 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. At the end of the training, you will be working on a real-time project for which we will provide you a Grade and a Verifiable Certificate! ----------------------------------------------------------------------------- About the course Python has been one of the premier, flexible, and powerful open-source language that is easy to learn, easy to use, and has powerful libraries for data manipulation and analysis. For over a decade, Python has been used in scientific computing and highly quantitative domains such as finance, oil and gas, physics, and signal processing. Edureka's Python Certification Training not only focuses on the fundamentals of Python, Statistics and Machine Learning but also helps one gain expertise in applied Data Science at scale using Python. The training is a step by step guide to Python and Data Science with extensive hands-on. The course is packed with several activity problems and assignments and scenarios that help you gain practical experience in addressing predictive modeling problems that would either require Machine Learning using Python. Starting from basics of Statistics such as mean, median and mode to exploring features such as Data Analysis, Regression, Classification, Clustering, Naive Bayes, Cross-Validation, Label Encoding, Random Forests, Decision Trees and Support Vector Machines with a supporting example and exercise help you get into the weeds. Furthermore, you will be taught of Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to train your machine based on real-life scenarios using Machine Learning Algorithms. Edureka’s Python course will also cover both basic and advanced concepts of Python like writing Python scripts, sequence and file operations in Python. You will use libraries like pandas, numpy, matplotlib, scikit, and master concepts like Python machine learning, scripts, and sequence. ----------------------------------------------------------------------------- Why learn Python? It's continued to be a favorite option for data scientists who use it for building and using Machine learning applications and other scientific computations. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging programs is a breeze in Python with its built-in debugger. It runs on Windows, Linux/Unix, Mac OS and has been ported to Java and .NET virtual machines. Python is free to use, even for commercial products, because of its OSI-approved open source license. It has evolved as the most preferred Language for Data Analytics and the increasing search trends on python also indicates that it is the " Next Big Thing " and a must for Professionals in the Data Analytics domain. ----------------------------------------------------------------------------- Who Should Go For This Course? Programmers, Developers, Technical Leads, Architects Developers aspiring to be a ‘Machine Learning Engineer' Analytics Managers who are leading a team of analysts Business Analysts who want to understand Machine Learning (ML) Techniques Information Architects who want to gain expertise in Predictive Analytics 'Python' professionals who want to design automatic predictive models ----------------------------------------------------------------------------- For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775

https://wn.com/Exploratory_Data_Analysis_(Eda)_Using_Python_|_Python_Data_Analysis_|_Python_Training_|_Edureka

🔥Edureka Python Certification Training: https://www.edureka.co/data-science-python-certification-course This Edureka video on the 'Exploratory Data Analysis Using Python' will help you understand how we can use Python to perform EDA for significant insights and data-driven conclusions. 🔹Python Tutorial Playlist: https://goo.gl/WsBpKe 🔹Blog Series: http://bit.ly/2sqmP4s ----------------------------------------------------------------------------- 🔴To subscribe to our channel and hit the bell icon to never miss an update from us in the future: https://goo.gl/6ohpTV Edureka Community: https://bit.ly/EdurekaCommunity Instagram: https://www.instagram.com/edureka_learning/ Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka Telegram: https://t.me/edurekaupdates SlideShare: https://www.slideshare.net/EdurekaIN Meetup: https://www.meetup.com/edureka/ #Edureka #PythonEdureka #EDA #exploratorydataanalysis #pythonprojects #pythonprogramming #pythontutorial #PythonTraining ----------------------------------------------------------------------------- How it Works? 1. This is a 5 Week Instructor-led Online Course,40 hours of assignment and 20 hours of project work 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. At the end of the training, you will be working on a real-time project for which we will provide you a Grade and a Verifiable Certificate! ----------------------------------------------------------------------------- About the course Python has been one of the premier, flexible, and powerful open-source language that is easy to learn, easy to use, and has powerful libraries for data manipulation and analysis. For over a decade, Python has been used in scientific computing and highly quantitative domains such as finance, oil and gas, physics, and signal processing. Edureka's Python Certification Training not only focuses on the fundamentals of Python, Statistics and Machine Learning but also helps one gain expertise in applied Data Science at scale using Python. The training is a step by step guide to Python and Data Science with extensive hands-on. The course is packed with several activity problems and assignments and scenarios that help you gain practical experience in addressing predictive modeling problems that would either require Machine Learning using Python. Starting from basics of Statistics such as mean, median and mode to exploring features such as Data Analysis, Regression, Classification, Clustering, Naive Bayes, Cross-Validation, Label Encoding, Random Forests, Decision Trees and Support Vector Machines with a supporting example and exercise help you get into the weeds. Furthermore, you will be taught of Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to train your machine based on real-life scenarios using Machine Learning Algorithms. Edureka’s Python course will also cover both basic and advanced concepts of Python like writing Python scripts, sequence and file operations in Python. You will use libraries like pandas, numpy, matplotlib, scikit, and master concepts like Python machine learning, scripts, and sequence. ----------------------------------------------------------------------------- Why learn Python? It's continued to be a favorite option for data scientists who use it for building and using Machine learning applications and other scientific computations. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging programs is a breeze in Python with its built-in debugger. It runs on Windows, Linux/Unix, Mac OS and has been ported to Java and .NET virtual machines. Python is free to use, even for commercial products, because of its OSI-approved open source license. It has evolved as the most preferred Language for Data Analytics and the increasing search trends on python also indicates that it is the " Next Big Thing " and a must for Professionals in the Data Analytics domain. ----------------------------------------------------------------------------- Who Should Go For This Course? Programmers, Developers, Technical Leads, Architects Developers aspiring to be a ‘Machine Learning Engineer' Analytics Managers who are leading a team of analysts Business Analysts who want to understand Machine Learning (ML) Techniques Information Architects who want to gain expertise in Predictive Analytics 'Python' professionals who want to design automatic predictive models ----------------------------------------------------------------------------- For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775

• published: 29 Apr 2020
• views: 338439

8:20

What is Exploratory Data Analysis (EDA)? | Techcanvass

• Order: Reorder
• Duration: 8:20
• Uploaded Date: 22 Dec 2021
• views: 37636

Learn more about exploratory data analysis (EDA), why it is important and how it helps the actual data analysis with a story! Techcanvass is a Premier PMI Auth...

Learn more about exploratory data analysis (EDA), why it is important and how it helps the actual data analysis with a story! Techcanvass is a Premier PMI Authorized Training Partner (ATP) and an IIBA Endorsed education provider (EEP). We offer Tableau, Power BI, IIBA Analytics Certification (CBDA) Training programs. Visit www.techcanvass.com to know more about our EDA training. You can find more details about the CBDA certification training below: https://techcanvass.com/Courses/Certification-Business-Data-Analytics-CBDA-Training.aspx You can access the details of Power BI training at: https://bit.ly/3huhVuA You can access the details of Tableau Training at: https://bit.ly/3c1jvCN Also also offer PMP, PMI-ACP, CBAP, CCBA, AAC and ECBA Certification preparation programs. Website: https://techcanvass.com LinkedIn: https://www.linkedin.com/company/5083303/admin/ Facebook: https://www.facebook.com/Techcanvass Twitter Handle: @techcanvass Instagram Handle: https://www.instagram.com/thetechcanvass #dataanalysis, #datavisualization, #dataanalytics, #cbda, #businessanalytics, #techcanvass

https://wn.com/What_Is_Exploratory_Data_Analysis_(Eda)_|_Techcanvass

Learn more about exploratory data analysis (EDA), why it is important and how it helps the actual data analysis with a story! Techcanvass is a Premier PMI Authorized Training Partner (ATP) and an IIBA Endorsed education provider (EEP). We offer Tableau, Power BI, IIBA Analytics Certification (CBDA) Training programs. Visit www.techcanvass.com to know more about our EDA training. You can find more details about the CBDA certification training below: https://techcanvass.com/Courses/Certification-Business-Data-Analytics-CBDA-Training.aspx You can access the details of Power BI training at: https://bit.ly/3huhVuA You can access the details of Tableau Training at: https://bit.ly/3c1jvCN Also also offer PMP, PMI-ACP, CBAP, CCBA, AAC and ECBA Certification preparation programs. Website: https://techcanvass.com LinkedIn: https://www.linkedin.com/company/5083303/admin/ Facebook: https://www.facebook.com/Techcanvass Twitter Handle: @techcanvass Instagram Handle: https://www.instagram.com/thetechcanvass #dataanalysis, #datavisualization, #dataanalytics, #cbda, #businessanalytics, #techcanvass

• published: 22 Dec 2021
• views: 37636

1:40

EDA (Electronic Design Automation) Explained in 90 Seconds | Synopsys

• Order: Reorder
• Duration: 1:40
• Uploaded Date: 24 Sep 2021
• views: 48848

0:00 What is Electronic Design Automation (EDA)? 0:12 The History of EDA 0:21 The Importance of EDA 1:03 What does EDA enable? 1:23 EDA and Synopsys Learn more...

0:00 What is Electronic Design Automation (EDA)? 0:12 The History of EDA 0:21 The Importance of EDA 1:03 What does EDA enable? 1:23 EDA and Synopsys Learn more about Electronic Design Automation at: https://www.synopsys.com/glossary/what-is-electronic-design-automation.html Electronic Design Automation, or EDA, is a market segment consisting of software, hardware, and services with the collective goal of assisting in the definition, planning, design, implementation, verification, and subsequent manufacturing of semiconductor devices, or chips. Regarding the manufacturing of these devices, the primary providers of this service are semiconductor foundries, or fabs. These highly complex and costly facilities are either owned and operated by large, vertically integrated semiconductor companies or operated as independent, “pure-play” manufacturing service providers. This latter category has become the dominate business model. Did you know Synopsys is at the forefront of EDA with the world’s most advanced technologies for chip design, verification, and semiconductor IP? Discover how our tools can help both hardware designers and software developers create the next generation of systems at Synopsys.com/EDA-101 #eda, #electronicdesignautomation Learn more about Synopsys: https://www.synopsys.com/ Subscribe: https://www.youtube.com/synopsys Follow Synopsys on Twitter: https://twitter.com/synopsys Like Synopsys on Facebook: https://www.facebook.com/Synopsys Follow Synopsys on LinkedIn: https://www.LinkedIn.com/Synopsys

https://wn.com/Eda_(Electronic_Design_Automation)_Explained_In_90_Seconds_|_Synopsys

0:00 What is Electronic Design Automation (EDA)? 0:12 The History of EDA 0:21 The Importance of EDA 1:03 What does EDA enable? 1:23 EDA and Synopsys Learn more about Electronic Design Automation at: https://www.synopsys.com/glossary/what-is-electronic-design-automation.html Electronic Design Automation, or EDA, is a market segment consisting of software, hardware, and services with the collective goal of assisting in the definition, planning, design, implementation, verification, and subsequent manufacturing of semiconductor devices, or chips. Regarding the manufacturing of these devices, the primary providers of this service are semiconductor foundries, or fabs. These highly complex and costly facilities are either owned and operated by large, vertically integrated semiconductor companies or operated as independent, “pure-play” manufacturing service providers. This latter category has become the dominate business model. Did you know Synopsys is at the forefront of EDA with the world’s most advanced technologies for chip design, verification, and semiconductor IP? Discover how our tools can help both hardware designers and software developers create the next generation of systems at Synopsys.com/EDA-101 #eda, #electronicdesignautomation Learn more about Synopsys: https://www.synopsys.com/ Subscribe: https://www.youtube.com/synopsys Follow Synopsys on Twitter: https://twitter.com/synopsys Like Synopsys on Facebook: https://www.facebook.com/Synopsys Follow Synopsys on LinkedIn: https://www.LinkedIn.com/Synopsys

• published: 24 Sep 2021
• views: 48848

14:19

Step By Step Process In EDA And Feature Engineering In Data Science Projects

• Order: Reorder
• Duration: 14:19
• Uploaded Date: 29 Aug 2021
• views: 112933

⭐ Kite is a free AI-powered coding assistant that will help you code faster and smarter. The Kite plugin integrates with all the top editors and IDEs to give yo...

⭐ Kite is a free AI-powered coding assistant that will help you code faster and smarter. The Kite plugin integrates with all the top editors and IDEs to give you smart completions and documentation while you’re typing. I've been using Kite for a few months and I love it! https://www.kite.com/get-kite/?utm_medium=referral&utm_source=youtube&utm_campaign=krishnaik&utm_content=description-only -------------------------------------------------------------------------------------------------------------------------- Subscribe my vlogging channel https://www.youtube.com/channel/UCjWY5hREA6FFYrthD0rZNIw Please donate if you want to support the channel through GPay UPID, Gpay: krishnaik06@okicici Telegram link: https://t.me/joinchat/N77M7xRvYUd403DgfE4TWw Please join as a member in my channel to get additional benefits like materials in Data Science, live streaming for Members and many more https://www.youtube.com/channel/UCNU_lfiiWBdtULKOw6X0Dig/join ------------------------------------------------------------------------------------------------------------------------- Connect with me here: Twitter: https://twitter.com/Krishnaik06 Facebook: https://www.facebook.com/krishnaik06 instagram: https://www.instagram.com/krishnaik06 -----------------------------------------------------------------------------------------------------------------------

https://wn.com/Step_By_Step_Process_In_Eda_And_Feature_Engineering_In_Data_Science_Projects

⭐ Kite is a free AI-powered coding assistant that will help you code faster and smarter. The Kite plugin integrates with all the top editors and IDEs to give you smart completions and documentation while you’re typing. I've been using Kite for a few months and I love it! https://www.kite.com/get-kite/?utm_medium=referral&utm_source=youtube&utm_campaign=krishnaik&utm_content=description-only -------------------------------------------------------------------------------------------------------------------------- Subscribe my vlogging channel https://www.youtube.com/channel/UCjWY5hREA6FFYrthD0rZNIw Please donate if you want to support the channel through GPay UPID, Gpay: krishnaik06@okicici Telegram link: https://t.me/joinchat/N77M7xRvYUd403DgfE4TWw Please join as a member in my channel to get additional benefits like materials in Data Science, live streaming for Members and many more https://www.youtube.com/channel/UCNU_lfiiWBdtULKOw6X0Dig/join ------------------------------------------------------------------------------------------------------------------------- Connect with me here: Twitter: https://twitter.com/Krishnaik06 Facebook: https://www.facebook.com/krishnaik06 instagram: https://www.instagram.com/krishnaik06 -----------------------------------------------------------------------------------------------------------------------

• published: 29 Aug 2021
• views: 112933

4:27

Cinta Setandan Pisang - Eda Ezrin & Den Manjo | Official Music Video

• Order: Reorder
• Duration: 4:27
• Uploaded Date: 29 Dec 2023
• views: 24886629

Cinta Setandan Pisang - Eda Ezrin & Den Manjo | Official Music Video Jom dengarkan single terbaru dari #EdaEzrin & #DenManjo berjudul #CintaSetandanPisang ! J...

Cinta Setandan Pisang - Eda Ezrin & Den Manjo | Official Music Video Jom dengarkan single terbaru dari #EdaEzrin & #DenManjo berjudul #CintaSetandanPisang ! Jom mendunia bersama lagu ini !! Bey Sobar Bey !! Artis : Eda Ezrin & Den Manjo Lagu : Cinta Setandan Pisang Lagu: Eddie Hamid (Nova Music (M) Sdn Bhd) Lirik: Mama Ana (Nova Music (M) Sdn Bhd) & Fadhil Turbo (Etnik Production) Susunan Muzik : Eddie Hamid Pemuzik : Keyboard/Drum/Guitar Programed by Eddie Hamid Synthesiser : Keyo K7 #EdaEzrin & #DenManjo #CintaSetandanPisang #KijangMusic #beysobarbey #beasobarbea FIND US, KIJANG MUSIC Instagram : Kijang Music Facebook : Kijang Music Tiktok : kijang_music For artist show bookings/enquiries, please contact Kijang Music at : 011-3609 5052 ( Linda )bey so

https://wn.com/Cinta_Setandan_Pisang_Eda_Ezrin_Den_Manjo_|_Official_Music_Video

Cinta Setandan Pisang - Eda Ezrin & Den Manjo | Official Music Video Jom dengarkan single terbaru dari #EdaEzrin & #DenManjo berjudul #CintaSetandanPisang ! Jom mendunia bersama lagu ini !! Bey Sobar Bey !! Artis : Eda Ezrin & Den Manjo Lagu : Cinta Setandan Pisang Lagu: Eddie Hamid (Nova Music (M) Sdn Bhd) Lirik: Mama Ana (Nova Music (M) Sdn Bhd) & Fadhil Turbo (Etnik Production) Susunan Muzik : Eddie Hamid Pemuzik : Keyboard/Drum/Guitar Programed by Eddie Hamid Synthesiser : Keyo K7 #EdaEzrin & #DenManjo #CintaSetandanPisang #KijangMusic #beysobarbey #beasobarbea FIND US, KIJANG MUSIC Instagram : Kijang Music Facebook : Kijang Music Tiktok : kijang_music For artist show bookings/enquiries, please contact Kijang Music at : 011-3609 5052 ( Linda )bey so

• published: 29 Dec 2023
• views: 24886629

4:50:32

EDA - Exploratory Data Analysis | EDA on Real Life Banking Data using Python | Beginner to Pro Level

• Order: Reorder
• Duration: 4:50:32
• Uploaded Date: 22 Sep 2022
• views: 18066

In this video we have covered - 00:00:00 - Introduction 00: 03:46 - Data overview and feature selection 00:53:41 - Feature Engineering 00:55:20 - Missing value...

In this video we have covered - 00:00:00 - Introduction 00: 03:46 - Data overview and feature selection 00:53:41 - Feature Engineering 00:55:20 - Missing values imputation 01:26:23 - Values modification automatically in multiple columns 01:36:42 - Variables evaluation and outlier detection 01:41:15 - Binning the variables 01:57:32 - Analysing the data 02:03:25 - Univariate analysis on categorical/object/character variables 02:57:35 - Subsetting the numerical variables from a dataframe for analysis 03:03:46 - Creating correlation matrix for multiple variables | Unstacking a correlation table to make it a normal dataframe 03:16:10 - Univariate analysis on numerical variables 03:28:19 - Bivariate analysis on numeric variables 03:47:52 - Analysing the prev. application data, performing feature engineering and feature selection and merging with current app. data 04:08:54 - Doing univariate and bivariate analysis on merged dataframe 04:28:42 - Making final conclusion and preparing recommendations for bank Individual videos playlist - https://youtube.com/playlist?list=PL4GjoPPG4VqO6eg4mUeBDn7k21RLfti8- You might also like to watch - Sentiment Analysis - https://youtu.be/lQhK9l5XHsE Data Science Playlist - https://youtube.com/playlist?list=PL4GjoPPG4VqOmyh7hQ730evtLaz04LwSf Web Scraping Playlist - https://youtube.com/playlist?list=PL4GjoPPG4VqOvaJZV6147RCv2EwbS8Spp Complete Python Tutorial for Beginners - https://youtube.com/playlist?list=PL4GjoPPG4VqPUklqM_kq5wHJDsAWV2Ue- Complete Pandas Tutorial for Beginners - https://youtube.com/playlist?list=PL4GjoPPG4VqP0BNdnIZQqjCYodmtFCcee Complete NumPy Tutorial for Beginners - https://youtube.com/playlist?list=PL4GjoPPG4VqNz8W3JRDD-uRcM9WVJHYve Complete Matplotlib Tutorial for Beginners - https://youtube.com/playlist?list=PL4GjoPPG4VqN4dsP39m4QfpZSUrv2y8Iu Complete Seaborn Tutorial for Beginners - https://youtube.com/playlist?list=PL4GjoPPG4VqOAwSNw2I-PXUcjw1frHmW2 Tags - Exploratory Data Analysis, EDA, Feature Engineering, Feature Selection, Univariate Analysis, Bivariate Analysis, Analysis, Loan Default Data, Merging, Plotting, Seaborn Plots, Python, Python Programming, Correlation Matrix Kaggle URL to download the data - https://www.kaggle.com/datasets/gauravduttakiit/loan-defaulter You can download the complete script and analysis points created in this video using - File Name - Exploratory Data Analysis - Loan Defaulter Segmentation.py URL - https://github.com/LEARNEREA/Data_Science/tree/main/Scripts #eda #PythonProgramming #EDA #ExploratoryDataAnalysis #Learnerea

https://wn.com/Eda_Exploratory_Data_Analysis_|_Eda_On_Real_Life_Banking_Data_Using_Python_|_Beginner_To_Pro_Level

In this video we have covered - 00:00:00 - Introduction 00: 03:46 - Data overview and feature selection 00:53:41 - Feature Engineering 00:55:20 - Missing values imputation 01:26:23 - Values modification automatically in multiple columns 01:36:42 - Variables evaluation and outlier detection 01:41:15 - Binning the variables 01:57:32 - Analysing the data 02:03:25 - Univariate analysis on categorical/object/character variables 02:57:35 - Subsetting the numerical variables from a dataframe for analysis 03:03:46 - Creating correlation matrix for multiple variables | Unstacking a correlation table to make it a normal dataframe 03:16:10 - Univariate analysis on numerical variables 03:28:19 - Bivariate analysis on numeric variables 03:47:52 - Analysing the prev. application data, performing feature engineering and feature selection and merging with current app. data 04:08:54 - Doing univariate and bivariate analysis on merged dataframe 04:28:42 - Making final conclusion and preparing recommendations for bank Individual videos playlist - https://youtube.com/playlist?list=PL4GjoPPG4VqO6eg4mUeBDn7k21RLfti8- You might also like to watch - Sentiment Analysis - https://youtu.be/lQhK9l5XHsE Data Science Playlist - https://youtube.com/playlist?list=PL4GjoPPG4VqOmyh7hQ730evtLaz04LwSf Web Scraping Playlist - https://youtube.com/playlist?list=PL4GjoPPG4VqOvaJZV6147RCv2EwbS8Spp Complete Python Tutorial for Beginners - https://youtube.com/playlist?list=PL4GjoPPG4VqPUklqM_kq5wHJDsAWV2Ue- Complete Pandas Tutorial for Beginners - https://youtube.com/playlist?list=PL4GjoPPG4VqP0BNdnIZQqjCYodmtFCcee Complete NumPy Tutorial for Beginners - https://youtube.com/playlist?list=PL4GjoPPG4VqNz8W3JRDD-uRcM9WVJHYve Complete Matplotlib Tutorial for Beginners - https://youtube.com/playlist?list=PL4GjoPPG4VqN4dsP39m4QfpZSUrv2y8Iu Complete Seaborn Tutorial for Beginners - https://youtube.com/playlist?list=PL4GjoPPG4VqOAwSNw2I-PXUcjw1frHmW2 Tags - Exploratory Data Analysis, EDA, Feature Engineering, Feature Selection, Univariate Analysis, Bivariate Analysis, Analysis, Loan Default Data, Merging, Plotting, Seaborn Plots, Python, Python Programming, Correlation Matrix Kaggle URL to download the data - https://www.kaggle.com/datasets/gauravduttakiit/loan-defaulter You can download the complete script and analysis points created in this video using - File Name - Exploratory Data Analysis - Loan Defaulter Segmentation.py URL - https://github.com/LEARNEREA/Data_Science/tree/main/Scripts #eda #PythonProgramming #EDA #ExploratoryDataAnalysis #Learnerea

• published: 22 Sep 2022
• views: 18066

4:52

Gilo Baye - Deqnee ft. Eda Ezrin | Official Music Video

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• Duration: 4:52
• Uploaded Date: 21 Dec 2023
• views: 453304

GILO BAYE - Deqnee ft. Eda Ezrin (Official Music Video) Title : GILO BAYE Artist : Deqnee ft. Eda Ezrin Song : Rudy Aqsara Lyric : Rudy Aqsara Music Arrangg...

GILO BAYE - Deqnee ft. Eda Ezrin (Official Music Video) Title : GILO BAYE Artist : Deqnee ft. Eda Ezrin Song : Rudy Aqsara Lyric : Rudy Aqsara Music Arrangger : Keyo Ksevent Record Vocal : Ksevent Studio Video grafher : Md Faisal Editing : Md Faisal Produce : EDA EZRIN OFFICIAL Mohon komen Hok molek dan positif ya. Copyright ©️ 2023 Eda Ezrin Official. All rights reserved.

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GILO BAYE - Deqnee ft. Eda Ezrin (Official Music Video) Title : GILO BAYE Artist : Deqnee ft. Eda Ezrin Song : Rudy Aqsara Lyric : Rudy Aqsara Music Arrangger : Keyo Ksevent Record Vocal : Ksevent Studio Video grafher : Md Faisal Editing : Md Faisal Produce : EDA EZRIN OFFICIAL Mohon komen Hok molek dan positif ya. Copyright ©️ 2023 Eda Ezrin Official. All rights reserved.

• published: 21 Dec 2023
• views: 453304

9:36

Eda'nın, Egemen'e Olan Kızgınlığı - Babil 10. Bölüm

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• Duration: 9:36
• Uploaded Date: 23 Feb 2024
• views: 484

Egemen Eda ile arasını düzeltmek için elinden geleni yapmasına rağmen Eda geri adım atmadı. SENDEN HİÇ VAZGEÇMEDİM Babil 10. Bölümü izlemek için tıklayın 👉https...

Egemen Eda ile arasını düzeltmek için elinden geleni yapmasına rağmen Eda geri adım atmadı. SENDEN HİÇ VAZGEÇMEDİM Babil 10. Bölümü izlemek için tıklayın 👉https://youtu.be/8BhkzII1t5Q Parayı, yatırımları, vergileri, borçları, alacak verecekleri kolaylıkla hesaplayabilen İrfan’ın tek bir şeyi hesap edemediğiyle yüzleşeceğiz; insanın zaaflarıyla. Oğlunun hayatını kurtarmak için girdiği karanlık yol şimdi, kendini ve tanıdığı herkesi uçuruma sürüklüyor. Herkes kalbini eline aldı. İlay, İrfan için son şansını deniyor, Egemen Eda için. İrfan Ayşe’yle hiç hesaplayamadığı başka bir denklemde. Süleyman bir kere daha İrfan’la karşı karşıya… Bu defa İlay için. Oyuncu Kadrosu: İrfan: Halit Ergenç Egemen: Onur Saylak Ayşe: Aslı Enver İlay: Birce Akalay Eda: Nur Fettahoğlu Süleyman: Mesut Akusta Kudret: Veda Yurtsever Deniz: Beren Kasımoğulları Hakan: Selahattin Paşalı Yalçın: Mert Doğan Funda: Lesli Karavil Nehir: Gizem Kala Mert: Gürberk Polat Aydan: Aydan Koptur Demet: Gözde Melike Kocaoğlu Yağmur Büşra: Şeniz Çetin Aynur: Funda Eskioğlu Sedat: Barış Aksavaş Saffet: Abdurrahman Yunusoğlu Babil'e Abone Olmak İçin 👉 https://www.youtube.com/channel/UCL7VMojYM3_srnvOBnc-5ow?sub_confirmation=1 Bu dizi ve çok daha fazlası puhutv'de → https://puhutv.com/babil-detay?utm_medium=referral&utm_source=youtube&utm_campaign=babil&utm_content=detay #Babil #HalitErgenç #AslıEnver #OzanGüven

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Egemen Eda ile arasını düzeltmek için elinden geleni yapmasına rağmen Eda geri adım atmadı. SENDEN HİÇ VAZGEÇMEDİM Babil 10. Bölümü izlemek için tıklayın 👉https://youtu.be/8BhkzII1t5Q Parayı, yatırımları, vergileri, borçları, alacak verecekleri kolaylıkla hesaplayabilen İrfan’ın tek bir şeyi hesap edemediğiyle yüzleşeceğiz; insanın zaaflarıyla. Oğlunun hayatını kurtarmak için girdiği karanlık yol şimdi, kendini ve tanıdığı herkesi uçuruma sürüklüyor. Herkes kalbini eline aldı. İlay, İrfan için son şansını deniyor, Egemen Eda için. İrfan Ayşe’yle hiç hesaplayamadığı başka bir denklemde. Süleyman bir kere daha İrfan’la karşı karşıya… Bu defa İlay için. Oyuncu Kadrosu: İrfan: Halit Ergenç Egemen: Onur Saylak Ayşe: Aslı Enver İlay: Birce Akalay Eda: Nur Fettahoğlu Süleyman: Mesut Akusta Kudret: Veda Yurtsever Deniz: Beren Kasımoğulları Hakan: Selahattin Paşalı Yalçın: Mert Doğan Funda: Lesli Karavil Nehir: Gizem Kala Mert: Gürberk Polat Aydan: Aydan Koptur Demet: Gözde Melike Kocaoğlu Yağmur Büşra: Şeniz Çetin Aynur: Funda Eskioğlu Sedat: Barış Aksavaş Saffet: Abdurrahman Yunusoğlu Babil'e Abone Olmak İçin 👉 https://www.youtube.com/channel/UCL7VMojYM3_srnvOBnc-5ow?sub_confirmation=1 Bu dizi ve çok daha fazlası puhutv'de → https://puhutv.com/babil-detay?utm_medium=referral&utm_source=youtube&utm_campaign=babil&utm_content=detay #Babil #HalitErgenç #AslıEnver #OzanGüven

• published: 23 Feb 2024
• views: 484

1:29:10

Live Day 1-Live Session On EDA And Feature Engineering- Zomato Dataset

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• Duration: 1:29:10
• Uploaded Date: 17 Feb 2022
• views: 194135

Join the community session https://courses.ineuron.ai/Mega-Community-Live . Here All the materials will be uploaded. Download The Dataset: https://github.com/kr...

Join the community session https://courses.ineuron.ai/Mega-Community-Live . Here All the materials will be uploaded. Download The Dataset: https://github.com/krishnaik06/5-Days-Live-EDA-and-Feature-Engineering The Oneneuron Lifetime subscription has been extended. In Oneneuron platform you will be able to get 100+ courses(Monthly atleast 20 courses will be added based on your demand) Features of the course 1. You can raise any course demand.(Fulfilled within 45-60 days) 2. You can access innovation lab from ineuron. 3. You can use our incubation based on your ideas 4. Live session coming soon(Mostly till Feb) Use Coupon code KRISH10 for addition 10% discount. And Many More..... Enroll Now OneNeuron Link: https://one-neuron.ineuron.ai/ Direct call to our Team incase of any queries 8788503778 6260726925 9538303385 866003424

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Join the community session https://courses.ineuron.ai/Mega-Community-Live . Here All the materials will be uploaded. Download The Dataset: https://github.com/krishnaik06/5-Days-Live-EDA-and-Feature-Engineering The Oneneuron Lifetime subscription has been extended. In Oneneuron platform you will be able to get 100+ courses(Monthly atleast 20 courses will be added based on your demand) Features of the course 1. You can raise any course demand.(Fulfilled within 45-60 days) 2. You can access innovation lab from ineuron. 3. You can use our incubation based on your ideas 4. Live session coming soon(Mostly till Feb) Use Coupon code KRISH10 for addition 10% discount. And Many More..... Enroll Now OneNeuron Link: https://one-neuron.ineuron.ai/ Direct call to our Team incase of any queries 8788503778 6260726925 9538303385 866003424

• published: 17 Feb 2022
• views: 194135

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5:09:57

Learn Exploratory Data Analysis (EDA) from Scratch | EDA in 5 hours | Satyajit Pattnaik

Are you ready to unleash the power of data analysis and gain valuable insights in just 5 h...

published: 17 Sep 2023

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Learn Exploratory Data Analysis (EDA) from Scratch | EDA in 5 hours | Satyajit Pattnaik

Learn Exploratory Data Analysis (EDA) from Scratch | EDA in 5 hours | Satyajit Pattnaik

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• published: 17 Sep 2023
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Are you ready to unleash the power of data analysis and gain valuable insights in just 5 hours? Look no further! In this comprehensive video course, we'll guide you through the fundamentals of Exploratory Data Analysis (EDA) from scratch, helping you unlock the potential of your data like never before. 📊 Dive into the world of EDA: You'll learn how to navigate and understand your data, identify patterns, and reveal hidden trends. From data visualization techniques to statistical analysis, this course covers it all! 📈 Gain practical knowledge: Our hands-on approach ensures that you not only grasp the theoretical concepts but also apply them to real-world scenarios. Through interactive exercises and examples, you'll develop the skills to clean, preprocess, and analyze data with confidence. 🔍 Uncover valuable insights: EDA is all about uncovering the story behind the data. We'll teach you how to ask the right questions, interpret your findings, and communicate your insights effectively. Whether you're a beginner or an experienced professional, this course will take your data analysis skills to the next level. 𝐓𝐢𝐦𝐞𝐋𝐢𝐧𝐞: ✅ 2:35 Agenda ✅ 5:20 DA/DS Process ✅ 11:58 What is EDA? ✅ 15:16 What is Visualization? ✅ 20:17 Steps in EDA ✅ 20:20 Data Sourcing ✅ 24:50 Data Cleaning ✅ 47:23 Feature Scaling ✅ 1:19:25 Outlier Treatment ✅ 1:42:42 Invalid Data ✅ 1:47:43 Types of Data ✅ 1:50:36 Types of Analysis ✅ 1:51:00 Univariate Analysis ✅ 2:02:26 Bivariate Analysis ✅ 2:07:47 Multivariate Analysis ✅ 2:43:38 Derived Metrics ✅ 2:48:19 Feature Binning ✅ 3:06:03 Feature Encoding ✅ 3:37:41 Case Study 🔴 Code: https://github.com/pik1989/EDA ❤️❤️ Subscribe our YouTube Channel and press the bell icon to get regular updates👇: https://bit.ly/3tt2eNY Join our Telegram Channel For Exclusive Data Science Resources👍 : https://bit.ly/3FzObsk Check Out Our Other Helpful Videos:😍 ➮ Data Analyst vs Data Scientist vs Data Engineer - Roles || Responsibilities & Skills https://bit.ly/3qsg2pL ➮Live Implementation of End To End Machine Learning Project With Deployment | Customer Churn https://bit.ly/3FqPQjF ➮ Build your own Alexa in 30 minutes using Python | NLP | Data Science https://bit.ly/3FFBWdP ✅✅✅ Follow us on: ✌️ 👥 FACEBOOK: https://bit.ly/3I89SB4 📸 INSTAGRAM: https://bit.ly/3GLSvFn 💬 LINKEDIN: https://bit.ly/3fmwmCa 🔴 TELEGRAM: https://bit.ly/3MjBODX 🔴 TELEGRAM Discussion Group: https://bit.ly/3mcusay Hello Friends , I am Satyajit Pattnaik, In my channel you will find every information about Data Science & Analytics which will help you become an expert Data Scientist or a Data Analyst along with which you would enjoy a loads of interesting and useful projects. More & more great stuffs coming soon, keep supporting & learning 🎓 THANKS FOR WATCHING 😊 Music by: https://www.bensound.com License code: OSLSCHN8ZUGZL0W2 satyajit pattnaik,data science,data analytics,machine learning,data analyst,artificial intelligence,Projects,Learn Exploratory Data Analysis (EDA) from Scratch,learn EDA,exploratory data analysis end to end,learn eda end to end,what is eda,how to learn eda from scratch,eda projects,eda satyajit,satyajit pattnaik data,satyajit data analysis,learn eda from scratch,feature binning,feature scaling,univariate analysis,bivariate analysis,outlier treatment

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29:59

Exploratory Data Analysis (EDA) Using Python | Python Data Analysis | Python Training | Edureka

🔥Edureka Python Certification Training: https://www.edureka.co/data-science-python-certifi...

published: 29 Apr 2020

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Exploratory Data Analysis (EDA) Using Python | Python Data Analysis | Python Training | Edureka

Exploratory Data Analysis (EDA) Using Python | Python Data Analysis | Python Training | Edureka

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• published: 29 Apr 2020
• views: 338439

🔥Edureka Python Certification Training: https://www.edureka.co/data-science-python-certification-course This Edureka video on the 'Exploratory Data Analysis Using Python' will help you understand how we can use Python to perform EDA for significant insights and data-driven conclusions. 🔹Python Tutorial Playlist: https://goo.gl/WsBpKe 🔹Blog Series: http://bit.ly/2sqmP4s ----------------------------------------------------------------------------- 🔴To subscribe to our channel and hit the bell icon to never miss an update from us in the future: https://goo.gl/6ohpTV Edureka Community: https://bit.ly/EdurekaCommunity Instagram: https://www.instagram.com/edureka_learning/ Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka Telegram: https://t.me/edurekaupdates SlideShare: https://www.slideshare.net/EdurekaIN Meetup: https://www.meetup.com/edureka/ #Edureka #PythonEdureka #EDA #exploratorydataanalysis #pythonprojects #pythonprogramming #pythontutorial #PythonTraining ----------------------------------------------------------------------------- How it Works? 1. This is a 5 Week Instructor-led Online Course,40 hours of assignment and 20 hours of project work 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. At the end of the training, you will be working on a real-time project for which we will provide you a Grade and a Verifiable Certificate! ----------------------------------------------------------------------------- About the course Python has been one of the premier, flexible, and powerful open-source language that is easy to learn, easy to use, and has powerful libraries for data manipulation and analysis. For over a decade, Python has been used in scientific computing and highly quantitative domains such as finance, oil and gas, physics, and signal processing. Edureka's Python Certification Training not only focuses on the fundamentals of Python, Statistics and Machine Learning but also helps one gain expertise in applied Data Science at scale using Python. The training is a step by step guide to Python and Data Science with extensive hands-on. The course is packed with several activity problems and assignments and scenarios that help you gain practical experience in addressing predictive modeling problems that would either require Machine Learning using Python. Starting from basics of Statistics such as mean, median and mode to exploring features such as Data Analysis, Regression, Classification, Clustering, Naive Bayes, Cross-Validation, Label Encoding, Random Forests, Decision Trees and Support Vector Machines with a supporting example and exercise help you get into the weeds. Furthermore, you will be taught of Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to train your machine based on real-life scenarios using Machine Learning Algorithms. Edureka’s Python course will also cover both basic and advanced concepts of Python like writing Python scripts, sequence and file operations in Python. You will use libraries like pandas, numpy, matplotlib, scikit, and master concepts like Python machine learning, scripts, and sequence. ----------------------------------------------------------------------------- Why learn Python? It's continued to be a favorite option for data scientists who use it for building and using Machine learning applications and other scientific computations. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging programs is a breeze in Python with its built-in debugger. It runs on Windows, Linux/Unix, Mac OS and has been ported to Java and .NET virtual machines. Python is free to use, even for commercial products, because of its OSI-approved open source license. It has evolved as the most preferred Language for Data Analytics and the increasing search trends on python also indicates that it is the " Next Big Thing " and a must for Professionals in the Data Analytics domain. ----------------------------------------------------------------------------- Who Should Go For This Course? Programmers, Developers, Technical Leads, Architects Developers aspiring to be a ‘Machine Learning Engineer' Analytics Managers who are leading a team of analysts Business Analysts who want to understand Machine Learning (ML) Techniques Information Architects who want to gain expertise in Predictive Analytics 'Python' professionals who want to design automatic predictive models ----------------------------------------------------------------------------- For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775

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8:20

What is Exploratory Data Analysis (EDA)? | Techcanvass

Learn more about exploratory data analysis (EDA), why it is important and how it helps the...

published: 22 Dec 2021

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What is Exploratory Data Analysis (EDA)? | Techcanvass

What is Exploratory Data Analysis (EDA)? | Techcanvass

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• published: 22 Dec 2021
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Learn more about exploratory data analysis (EDA), why it is important and how it helps the actual data analysis with a story! Techcanvass is a Premier PMI Authorized Training Partner (ATP) and an IIBA Endorsed education provider (EEP). We offer Tableau, Power BI, IIBA Analytics Certification (CBDA) Training programs. Visit www.techcanvass.com to know more about our EDA training. You can find more details about the CBDA certification training below: https://techcanvass.com/Courses/Certification-Business-Data-Analytics-CBDA-Training.aspx You can access the details of Power BI training at: https://bit.ly/3huhVuA You can access the details of Tableau Training at: https://bit.ly/3c1jvCN Also also offer PMP, PMI-ACP, CBAP, CCBA, AAC and ECBA Certification preparation programs. Website: https://techcanvass.com LinkedIn: https://www.linkedin.com/company/5083303/admin/ Facebook: https://www.facebook.com/Techcanvass Twitter Handle: @techcanvass Instagram Handle: https://www.instagram.com/thetechcanvass #dataanalysis, #datavisualization, #dataanalytics, #cbda, #businessanalytics, #techcanvass

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1:40

EDA (Electronic Design Automation) Explained in 90 Seconds | Synopsys

0:00 What is Electronic Design Automation (EDA)? 0:12 The History of EDA 0:21 The Importan...

published: 24 Sep 2021

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EDA (Electronic Design Automation) Explained in 90 Seconds | Synopsys

EDA (Electronic Design Automation) Explained in 90 Seconds | Synopsys

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• published: 24 Sep 2021
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0:00 What is Electronic Design Automation (EDA)? 0:12 The History of EDA 0:21 The Importance of EDA 1:03 What does EDA enable? 1:23 EDA and Synopsys Learn more about Electronic Design Automation at: https://www.synopsys.com/glossary/what-is-electronic-design-automation.html Electronic Design Automation, or EDA, is a market segment consisting of software, hardware, and services with the collective goal of assisting in the definition, planning, design, implementation, verification, and subsequent manufacturing of semiconductor devices, or chips. Regarding the manufacturing of these devices, the primary providers of this service are semiconductor foundries, or fabs. These highly complex and costly facilities are either owned and operated by large, vertically integrated semiconductor companies or operated as independent, “pure-play” manufacturing service providers. This latter category has become the dominate business model. Did you know Synopsys is at the forefront of EDA with the world’s most advanced technologies for chip design, verification, and semiconductor IP? Discover how our tools can help both hardware designers and software developers create the next generation of systems at Synopsys.com/EDA-101 #eda, #electronicdesignautomation Learn more about Synopsys: https://www.synopsys.com/ Subscribe: https://www.youtube.com/synopsys Follow Synopsys on Twitter: https://twitter.com/synopsys Like Synopsys on Facebook: https://www.facebook.com/Synopsys Follow Synopsys on LinkedIn: https://www.LinkedIn.com/Synopsys

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14:19

Step By Step Process In EDA And Feature Engineering In Data Science Projects

⭐ Kite is a free AI-powered coding assistant that will help you code faster and smarter. T...

published: 29 Aug 2021

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Step By Step Process In EDA And Feature Engineering In Data Science Projects

Step By Step Process In EDA And Feature Engineering In Data Science Projects

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• published: 29 Aug 2021
• views: 112933

⭐ Kite is a free AI-powered coding assistant that will help you code faster and smarter. The Kite plugin integrates with all the top editors and IDEs to give you smart completions and documentation while you’re typing. I've been using Kite for a few months and I love it! https://www.kite.com/get-kite/?utm_medium=referral&utm_source=youtube&utm_campaign=krishnaik&utm_content=description-only -------------------------------------------------------------------------------------------------------------------------- Subscribe my vlogging channel https://www.youtube.com/channel/UCjWY5hREA6FFYrthD0rZNIw Please donate if you want to support the channel through GPay UPID, Gpay: krishnaik06@okicici Telegram link: https://t.me/joinchat/N77M7xRvYUd403DgfE4TWw Please join as a member in my channel to get additional benefits like materials in Data Science, live streaming for Members and many more https://www.youtube.com/channel/UCNU_lfiiWBdtULKOw6X0Dig/join ------------------------------------------------------------------------------------------------------------------------- Connect with me here: Twitter: https://twitter.com/Krishnaik06 Facebook: https://www.facebook.com/krishnaik06 instagram: https://www.instagram.com/krishnaik06 -----------------------------------------------------------------------------------------------------------------------

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4:27

Cinta Setandan Pisang - Eda Ezrin & Den Manjo | Official Music Video

Cinta Setandan Pisang - Eda Ezrin & Den Manjo | Official Music Video Jom dengarkan singl...

published: 29 Dec 2023

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Cinta Setandan Pisang - Eda Ezrin & Den Manjo | Official Music Video

Cinta Setandan Pisang - Eda Ezrin & Den Manjo | Official Music Video

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• published: 29 Dec 2023
• views: 24886629

Cinta Setandan Pisang - Eda Ezrin & Den Manjo | Official Music Video Jom dengarkan single terbaru dari #EdaEzrin & #DenManjo berjudul #CintaSetandanPisang ! Jom mendunia bersama lagu ini !! Bey Sobar Bey !! Artis : Eda Ezrin & Den Manjo Lagu : Cinta Setandan Pisang Lagu: Eddie Hamid (Nova Music (M) Sdn Bhd) Lirik: Mama Ana (Nova Music (M) Sdn Bhd) & Fadhil Turbo (Etnik Production) Susunan Muzik : Eddie Hamid Pemuzik : Keyboard/Drum/Guitar Programed by Eddie Hamid Synthesiser : Keyo K7 #EdaEzrin & #DenManjo #CintaSetandanPisang #KijangMusic #beysobarbey #beasobarbea FIND US, KIJANG MUSIC Instagram : Kijang Music Facebook : Kijang Music Tiktok : kijang_music For artist show bookings/enquiries, please contact Kijang Music at : 011-3609 5052 ( Linda )bey so

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4:50:32

EDA - Exploratory Data Analysis | EDA on Real Life Banking Data using Python | Beginner to Pro Level

In this video we have covered - 00:00:00 - Introduction 00: 03:46 - Data overview and fea...

published: 22 Sep 2022

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EDA - Exploratory Data Analysis | EDA on Real Life Banking Data using Python | Beginner to Pro Level

EDA - Exploratory Data Analysis | EDA on Real Life Banking Data using Python | Beginner to Pro Level

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• published: 22 Sep 2022
• views: 18066

In this video we have covered - 00:00:00 - Introduction 00: 03:46 - Data overview and feature selection 00:53:41 - Feature Engineering 00:55:20 - Missing values imputation 01:26:23 - Values modification automatically in multiple columns 01:36:42 - Variables evaluation and outlier detection 01:41:15 - Binning the variables 01:57:32 - Analysing the data 02:03:25 - Univariate analysis on categorical/object/character variables 02:57:35 - Subsetting the numerical variables from a dataframe for analysis 03:03:46 - Creating correlation matrix for multiple variables | Unstacking a correlation table to make it a normal dataframe 03:16:10 - Univariate analysis on numerical variables 03:28:19 - Bivariate analysis on numeric variables 03:47:52 - Analysing the prev. application data, performing feature engineering and feature selection and merging with current app. data 04:08:54 - Doing univariate and bivariate analysis on merged dataframe 04:28:42 - Making final conclusion and preparing recommendations for bank Individual videos playlist - https://youtube.com/playlist?list=PL4GjoPPG4VqO6eg4mUeBDn7k21RLfti8- You might also like to watch - Sentiment Analysis - https://youtu.be/lQhK9l5XHsE Data Science Playlist - https://youtube.com/playlist?list=PL4GjoPPG4VqOmyh7hQ730evtLaz04LwSf Web Scraping Playlist - https://youtube.com/playlist?list=PL4GjoPPG4VqOvaJZV6147RCv2EwbS8Spp Complete Python Tutorial for Beginners - https://youtube.com/playlist?list=PL4GjoPPG4VqPUklqM_kq5wHJDsAWV2Ue- Complete Pandas Tutorial for Beginners - https://youtube.com/playlist?list=PL4GjoPPG4VqP0BNdnIZQqjCYodmtFCcee Complete NumPy Tutorial for Beginners - https://youtube.com/playlist?list=PL4GjoPPG4VqNz8W3JRDD-uRcM9WVJHYve Complete Matplotlib Tutorial for Beginners - https://youtube.com/playlist?list=PL4GjoPPG4VqN4dsP39m4QfpZSUrv2y8Iu Complete Seaborn Tutorial for Beginners - https://youtube.com/playlist?list=PL4GjoPPG4VqOAwSNw2I-PXUcjw1frHmW2 Tags - Exploratory Data Analysis, EDA, Feature Engineering, Feature Selection, Univariate Analysis, Bivariate Analysis, Analysis, Loan Default Data, Merging, Plotting, Seaborn Plots, Python, Python Programming, Correlation Matrix Kaggle URL to download the data - https://www.kaggle.com/datasets/gauravduttakiit/loan-defaulter You can download the complete script and analysis points created in this video using - File Name - Exploratory Data Analysis - Loan Defaulter Segmentation.py URL - https://github.com/LEARNEREA/Data_Science/tree/main/Scripts #eda #PythonProgramming #EDA #ExploratoryDataAnalysis #Learnerea

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4:52

Gilo Baye - Deqnee ft. Eda Ezrin | Official Music Video

GILO BAYE - Deqnee ft. Eda Ezrin (Official Music Video) Title : GILO BAYE Artist : Deqne...

published: 21 Dec 2023

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Gilo Baye - Deqnee ft. Eda Ezrin | Official Music Video

Gilo Baye - Deqnee ft. Eda Ezrin | Official Music Video

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• published: 21 Dec 2023
• views: 453304

GILO BAYE - Deqnee ft. Eda Ezrin (Official Music Video) Title : GILO BAYE Artist : Deqnee ft. Eda Ezrin Song : Rudy Aqsara Lyric : Rudy Aqsara Music Arrangger : Keyo Ksevent Record Vocal : Ksevent Studio Video grafher : Md Faisal Editing : Md Faisal Produce : EDA EZRIN OFFICIAL Mohon komen Hok molek dan positif ya. Copyright ©️ 2023 Eda Ezrin Official. All rights reserved.

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9:36

Eda'nın, Egemen'e Olan Kızgınlığı - Babil 10. Bölüm

Egemen Eda ile arasını düzeltmek için elinden geleni yapmasına rağmen Eda geri adım atmadı...

published: 23 Feb 2024

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Eda'nın, Egemen'e Olan Kızgınlığı - Babil 10. Bölüm

Eda'nın, Egemen'e Olan Kızgınlığı - Babil 10. Bölüm

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• published: 23 Feb 2024
• views: 484

Egemen Eda ile arasını düzeltmek için elinden geleni yapmasına rağmen Eda geri adım atmadı. SENDEN HİÇ VAZGEÇMEDİM Babil 10. Bölümü izlemek için tıklayın 👉https://youtu.be/8BhkzII1t5Q Parayı, yatırımları, vergileri, borçları, alacak verecekleri kolaylıkla hesaplayabilen İrfan’ın tek bir şeyi hesap edemediğiyle yüzleşeceğiz; insanın zaaflarıyla. Oğlunun hayatını kurtarmak için girdiği karanlık yol şimdi, kendini ve tanıdığı herkesi uçuruma sürüklüyor. Herkes kalbini eline aldı. İlay, İrfan için son şansını deniyor, Egemen Eda için. İrfan Ayşe’yle hiç hesaplayamadığı başka bir denklemde. Süleyman bir kere daha İrfan’la karşı karşıya… Bu defa İlay için. Oyuncu Kadrosu: İrfan: Halit Ergenç Egemen: Onur Saylak Ayşe: Aslı Enver İlay: Birce Akalay Eda: Nur Fettahoğlu Süleyman: Mesut Akusta Kudret: Veda Yurtsever Deniz: Beren Kasımoğulları Hakan: Selahattin Paşalı Yalçın: Mert Doğan Funda: Lesli Karavil Nehir: Gizem Kala Mert: Gürberk Polat Aydan: Aydan Koptur Demet: Gözde Melike Kocaoğlu Yağmur Büşra: Şeniz Çetin Aynur: Funda Eskioğlu Sedat: Barış Aksavaş Saffet: Abdurrahman Yunusoğlu Babil'e Abone Olmak İçin 👉 https://www.youtube.com/channel/UCL7VMojYM3_srnvOBnc-5ow?sub_confirmation=1 Bu dizi ve çok daha fazlası puhutv'de → https://puhutv.com/babil-detay?utm_medium=referral&utm_source=youtube&utm_campaign=babil&utm_content=detay #Babil #HalitErgenç #AslıEnver #OzanGüven

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1:29:10

Live Day 1-Live Session On EDA And Feature Engineering- Zomato Dataset

Join the community session https://courses.ineuron.ai/Mega-Community-Live . Here All the m...

published: 17 Feb 2022

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Live Day 1-Live Session On EDA And Feature Engineering- Zomato Dataset

Live Day 1-Live Session On EDA And Feature Engineering- Zomato Dataset

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• published: 17 Feb 2022
• views: 194135

Join the community session https://courses.ineuron.ai/Mega-Community-Live . Here All the materials will be uploaded. Download The Dataset: https://github.com/krishnaik06/5-Days-Live-EDA-and-Feature-Engineering The Oneneuron Lifetime subscription has been extended. In Oneneuron platform you will be able to get 100+ courses(Monthly atleast 20 courses will be added based on your demand) Features of the course 1. You can raise any course demand.(Fulfilled within 45-60 days) 2. You can access innovation lab from ineuron. 3. You can use our incubation based on your ideas 4. Live session coming soon(Mostly till Feb) Use Coupon code KRISH10 for addition 10% discount. And Many More..... Enroll Now OneNeuron Link: https://one-neuron.ineuron.ai/ Direct call to our Team incase of any queries 8788503778 6260726925 9538303385 866003424

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Placement (EDA)

Placement is an essential step in electronic design automation - the portion of the physical design flow that assigns exact locations for various circuit components within the chip’s core area. An inferior placement assignment will not only affect the chip's performance but might also make it nonmanufacturable by producing excessive wirelength, which is beyond available routing resources. Consequently, a placer must perform the assignment while optimizing a number of objectives to ensure that a circuit meets its performance demands. Typical placement objectives include

Total wirelength: Minimizing the total wirelength, or the sum of the length of all the wires in the design, is the primary objective of most existing placers. This not only helps minimize chip size, and hence cost, but also minimizes power and delay, which are proportional to the wirelength (This assumes long wires have additional buffering inserted; all modern design flows do this.)

Timing: The clock cycle of a chip is determined by the delay of its longest path, usually referred to as the critical path. Given a performance specification, a placer must ensure that no path exists with delay exceeding the maximum specified delay.

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This page contains text from Wikipedia, the Free Encyclopedia - https://wn.com/Placement_(EDA)

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