-
Decision and Classification Trees, Clearly Explained!!!
Decision trees are part of the foundation for Machine Learning. Although they are quite simple, they are very flexible and pop up in a very wide variety of situations. This StatQuest covers all the basics and shows you how to create a new tree from scratch, one step at a time.
NOTE: This is an updated and revised version of the Decision Tree StatQuest that I made back in 2018. It is my hope that this new version does a better job answering some of the most frequently asked questions people asked about the old one.
Note, you may also want to learn about...
Regression Trees: https://youtu.be/g9c66TUylZ4
Bias and Variance (and over fitting): https://youtu.be/EuBBz3bI-aA
Cross Validation: https://youtu.be/fSytzGwwBVw
Pruning Trees: https://youtu.be/D0efHEJsfHo
For a complete index of all th...
published: 26 Apr 2021
-
Decision Tree Classification Clearly Explained!
Here, I've explained Decision Trees in great detail. You'll also learn the math behind splitting the nodes. The next video will show you how to code a decision tree classifier from scratch.
#machinelearning #datascience
For more videos please subscribe -
http://bit.ly/normalizedNERD
Join our discord -
https://discord.gg/39YYU936RC
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published: 13 Jan 2021
-
Decision Tree: Important things to know
#MachineLearning #Deeplearning #DataScience
Decision tree organizes a series rules in a tree structure. It is one of the most practical methods for non-parametric supervised learning. Our goal in this video is to demonstrate how to create a decision tree that predicts the value of a target by learning decision rules inferred from the training data.
Instagram: https://www.instagram.com/machinelearning/
published: 08 Jul 2020
-
Decision Analysis 3: Decision Trees
This brief video explains
*the components of the decision tree
*how to construct a decision tree
*how to solve (fold back) a decision tree.
~~~~~~~~~~~
Other videos:
Decision Analysis 1: Maximax, Maximin, Minimax Regret
https://youtu.be/NQ-mYn9fPag
Decision Analysis 1.1 (Costs): Maximax, Maximin, Minimax Regret
https://youtu.be/ajkXzvVegBk
Decision Analysis 2.1: Equally Likely (Laplace) and Realism (Hurwicz)
https://www.youtube.com/watch?v=zlblUq9Dd14
Decision Analysis 2: EMV & EVPI - Expected Value & Perfect Information
https://www.youtube.com/watch?v=tbv9E9D2BRQ
Decision Analysis 4: EVSI - Expected Value of Sample Information
https://www.youtube.com/watch?v=FUY07dvaUuE
Decision Analysis 5: Posterior Probability Calculations
https://youtu.be/FpKiHpYnY_I
published: 24 Jun 2015
-
1. Decision Tree | ID3 Algorithm | Solved Numerical Example | by Mahesh Huddar
1. Decision Tree – ID3 Algorithm Solved Numerical Example by Mahesh Huddar
It takes a significant amount of time and energy to create these free video tutorials.
You can support my efforts in this way:
Buy me a Coffee: https://buymeacoffee.com/maheshhuddar
Decision Tree ID3 Algorithm Solved Example - 1: https://www.youtube.com/watch?v=gn85J4U4pbw
Decision Tree ID3 Algorithm Solved Example - 2: https://www.youtube.com/watch?v=JO2wiZif2OM
Decision Tree ID3 Algorithm Solved Example - 3: https://www.youtube.com/watch?v=2A8AGfxs0D8
Machine Learning Tutorial - https://www.youtube.com/playlist?list=PL4gu8xQu0_5JBO1FKRO5p20wc8DprlOgn
Big Data Analysis Tutorial - https://www.youtube.com/playlist?list=PL4gu8xQu0_5I_UtjmsGnjfhAEzcXoas1O
Data Science and Machine Learning Tutorial - https://www...
published: 24 Sep 2020
-
Let’s Write a Decision Tree Classifier from Scratch - Machine Learning Recipes #8
Hey everyone! Glad to be back! Decision Tree classifiers are intuitive, interpretable, and one of my favorite supervised learning algorithms. In this episode, I’ll walk you through writing a Decision Tree classifier from scratch, in pure Python. I’ll introduce concepts including Decision Tree Learning, Gini Impurity, and Information Gain. Then, we’ll code it all up. Understanding how to accomplish this was helpful to me when I studied Machine Learning for the first time, and I hope it will prove useful to you as well.
You can find the code from this video here:
https://goo.gl/UdZoNr
https://goo.gl/ZpWYzt
Books!
Hands-On Machine Learning with Scikit-Learn and TensorFlow https://goo.gl/kM0anQ
Follow Josh on Twitter: https://twitter.com/random_forests
Check out more Machine Learning Rec...
published: 13 Sep 2017
-
Decision Tree In Machine Learning | Decision Tree Algorithm In Python |Machine Learning |Simplilearn
🔥Artificial Intelligence Engineer (IBM) - https://www.simplilearn.com/masters-in-artificial-intelligence?utm_campaign=RmajweUFKvM&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Purdue - Post Graduate Program in AI and Machine Learning - https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=RmajweUFKvM&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥IITK - Professional Certificate Course in Generative AI and Machine Learning (India Only) - https://www.simplilearn.com/iitk-professional-certificate-course-ai-machine-learning?utm_campaign=RmajweUFKvM&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥IITG - Professional Certificate Program in Generative AI and Machine Learning (India Only) - https://www.simplilearn.com/iitg-generative-ai-machi...
published: 20 Mar 2018
-
How to MAKE (and USE) Decision Tree Analysis in Excel
⭐️⭐️⭐️ GET THIS TEMPLATE PLUS 52 MORE here: https://www.etsy.com/listing/1199800561/50-project-management-templates-in-excel
👍 Ready made and ready to use.
How to make a Decision Tree in Microsoft Excel, PLUS how to use one. This is a wonderful tool for more complex decisions, where we take the benefit or cost (often in dollars, but could be anything) and the probability of that item happening (as a percentage), to see which option out of many options will be the best outcome for us.
Timestamps
00:00 Decision Tree overview - How to use a decision tree
03:05 Creating our own Decision Tree
03:27 Making the Decision Tree Shapes
07:38 Using the shapes to make our Decision Tree
10:16 Finished Decision Tree
#ProjectManagement #Excel
See all the Project Template Excel and Powerpoint videos: ...
published: 20 Dec 2021
-
03 Ordinal encoding (Categorical variable encoding - Python code Machine Learning AI)
In this video, we dive deep into the world of categorical data encoding, focusing on the Basic Encoding Techniques of Ordinal encoding. Whether you're new to data science or looking to solidify your understanding, this video will guide you through step-by-step explanations and key concepts. You may want to check out other videos containing 37 other encoding methods, grouped into 8 comprehensive categories, a complete cheat-sheet on how to choose right method and comparative analysis using standard datasets.
Learn how each method works, the advantages and limitations of ordinal encoding. Enhance your knowledge and apply these techniques in your data preprocessing workflows for better performance in machine learning models.
What you'll learn in this video:
• In-depth explanation of Ordinal e...
published: 23 Sep 2024
-
Introduction to Decision Trees
Just-in-Time Videos - Management: Introduction to Decision Trees
Presented and Prepared by Charlene Chu
in Collaboration with Maria Wesslén
published: 10 Sep 2015
18:08
Decision and Classification Trees, Clearly Explained!!!
Decision trees are part of the foundation for Machine Learning. Although they are quite simple, they are very flexible and pop up in a very wide variety of situ...
Decision trees are part of the foundation for Machine Learning. Although they are quite simple, they are very flexible and pop up in a very wide variety of situations. This StatQuest covers all the basics and shows you how to create a new tree from scratch, one step at a time.
NOTE: This is an updated and revised version of the Decision Tree StatQuest that I made back in 2018. It is my hope that this new version does a better job answering some of the most frequently asked questions people asked about the old one.
Note, you may also want to learn about...
Regression Trees: https://youtu.be/g9c66TUylZ4
Bias and Variance (and over fitting): https://youtu.be/EuBBz3bI-aA
Cross Validation: https://youtu.be/fSytzGwwBVw
Pruning Trees: https://youtu.be/D0efHEJsfHo
For a complete index of all the StatQuest videos, check out:
https://statquest.org/video-index/
If you'd like to support StatQuest, please consider...
Buying my book, The StatQuest Illustrated Guide to Machine Learning:
PDF - https://statquest.gumroad.com/l/wvtmc
Paperback - https://www.amazon.com/dp/B09ZCKR4H6
Kindle eBook - https://www.amazon.com/dp/B09ZG79HXC
Patreon: https://www.patreon.com/statquest
...or...
YouTube Membership: https://www.youtube.com/channel/UCtYLUTtgS3k1Fg4y5tAhLbw/join
...a cool StatQuest t-shirt or sweatshirt:
https://shop.spreadshirt.com/statquest-with-josh-starmer/
...buying one or two of my songs (or go large and get a whole album!)
https://joshuastarmer.bandcamp.com/
...or just donating to StatQuest!
https://www.paypal.me/statquest
Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter:
https://twitter.com/joshuastarmer
0:00 Awesome song and introduction
0:18 Basic decision tree concepts
3:16 Building a tree with Gini Impurity
9:15 Numeric and continuous variables
12:35 Adding branches
13:56 Adding leaves
14:32 Defining output values
15:12 Using the tree
15:38 How to prevent overfitting
#StatQuest #decisiontree #ML
https://wn.com/Decision_And_Classification_Trees,_Clearly_Explained
Decision trees are part of the foundation for Machine Learning. Although they are quite simple, they are very flexible and pop up in a very wide variety of situations. This StatQuest covers all the basics and shows you how to create a new tree from scratch, one step at a time.
NOTE: This is an updated and revised version of the Decision Tree StatQuest that I made back in 2018. It is my hope that this new version does a better job answering some of the most frequently asked questions people asked about the old one.
Note, you may also want to learn about...
Regression Trees: https://youtu.be/g9c66TUylZ4
Bias and Variance (and over fitting): https://youtu.be/EuBBz3bI-aA
Cross Validation: https://youtu.be/fSytzGwwBVw
Pruning Trees: https://youtu.be/D0efHEJsfHo
For a complete index of all the StatQuest videos, check out:
https://statquest.org/video-index/
If you'd like to support StatQuest, please consider...
Buying my book, The StatQuest Illustrated Guide to Machine Learning:
PDF - https://statquest.gumroad.com/l/wvtmc
Paperback - https://www.amazon.com/dp/B09ZCKR4H6
Kindle eBook - https://www.amazon.com/dp/B09ZG79HXC
Patreon: https://www.patreon.com/statquest
...or...
YouTube Membership: https://www.youtube.com/channel/UCtYLUTtgS3k1Fg4y5tAhLbw/join
...a cool StatQuest t-shirt or sweatshirt:
https://shop.spreadshirt.com/statquest-with-josh-starmer/
...buying one or two of my songs (or go large and get a whole album!)
https://joshuastarmer.bandcamp.com/
...or just donating to StatQuest!
https://www.paypal.me/statquest
Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter:
https://twitter.com/joshuastarmer
0:00 Awesome song and introduction
0:18 Basic decision tree concepts
3:16 Building a tree with Gini Impurity
9:15 Numeric and continuous variables
12:35 Adding branches
13:56 Adding leaves
14:32 Defining output values
15:12 Using the tree
15:38 How to prevent overfitting
#StatQuest #decisiontree #ML
- published: 26 Apr 2021
- views: 746592
10:33
Decision Tree Classification Clearly Explained!
Here, I've explained Decision Trees in great detail. You'll also learn the math behind splitting the nodes. The next video will show you how to code a decision ...
Here, I've explained Decision Trees in great detail. You'll also learn the math behind splitting the nodes. The next video will show you how to code a decision tree classifier from scratch.
#machinelearning #datascience
For more videos please subscribe -
http://bit.ly/normalizedNERD
Join our discord -
https://discord.gg/39YYU936RC
Facebook -
https://www.facebook.com/nerdywits/
Instagram -
https://www.instagram.com/normalizednerd/
Twitter -
https://twitter.com/normalized_nerd
https://wn.com/Decision_Tree_Classification_Clearly_Explained
Here, I've explained Decision Trees in great detail. You'll also learn the math behind splitting the nodes. The next video will show you how to code a decision tree classifier from scratch.
#machinelearning #datascience
For more videos please subscribe -
http://bit.ly/normalizedNERD
Join our discord -
https://discord.gg/39YYU936RC
Facebook -
https://www.facebook.com/nerdywits/
Instagram -
https://www.instagram.com/normalizednerd/
Twitter -
https://twitter.com/normalized_nerd
- published: 13 Jan 2021
- views: 687445
4:24
Decision Tree: Important things to know
#MachineLearning #Deeplearning #DataScience
Decision tree organizes a series rules in a tree structure. It is one of the most practical methods for non-paramet...
#MachineLearning #Deeplearning #DataScience
Decision tree organizes a series rules in a tree structure. It is one of the most practical methods for non-parametric supervised learning. Our goal in this video is to demonstrate how to create a decision tree that predicts the value of a target by learning decision rules inferred from the training data.
Instagram: https://www.instagram.com/machinelearning/
https://wn.com/Decision_Tree_Important_Things_To_Know
#MachineLearning #Deeplearning #DataScience
Decision tree organizes a series rules in a tree structure. It is one of the most practical methods for non-parametric supervised learning. Our goal in this video is to demonstrate how to create a decision tree that predicts the value of a target by learning decision rules inferred from the training data.
Instagram: https://www.instagram.com/machinelearning/
- published: 08 Jul 2020
- views: 91251
3:06
Decision Analysis 3: Decision Trees
This brief video explains
*the components of the decision tree
*how to construct a decision tree
*how to solve (fold back) a decision tree.
~~~~~~~~~~~
Othe...
This brief video explains
*the components of the decision tree
*how to construct a decision tree
*how to solve (fold back) a decision tree.
~~~~~~~~~~~
Other videos:
Decision Analysis 1: Maximax, Maximin, Minimax Regret
https://youtu.be/NQ-mYn9fPag
Decision Analysis 1.1 (Costs): Maximax, Maximin, Minimax Regret
https://youtu.be/ajkXzvVegBk
Decision Analysis 2.1: Equally Likely (Laplace) and Realism (Hurwicz)
https://www.youtube.com/watch?v=zlblUq9Dd14
Decision Analysis 2: EMV & EVPI - Expected Value & Perfect Information
https://www.youtube.com/watch?v=tbv9E9D2BRQ
Decision Analysis 4: EVSI - Expected Value of Sample Information
https://www.youtube.com/watch?v=FUY07dvaUuE
Decision Analysis 5: Posterior Probability Calculations
https://youtu.be/FpKiHpYnY_I
https://wn.com/Decision_Analysis_3_Decision_Trees
This brief video explains
*the components of the decision tree
*how to construct a decision tree
*how to solve (fold back) a decision tree.
~~~~~~~~~~~
Other videos:
Decision Analysis 1: Maximax, Maximin, Minimax Regret
https://youtu.be/NQ-mYn9fPag
Decision Analysis 1.1 (Costs): Maximax, Maximin, Minimax Regret
https://youtu.be/ajkXzvVegBk
Decision Analysis 2.1: Equally Likely (Laplace) and Realism (Hurwicz)
https://www.youtube.com/watch?v=zlblUq9Dd14
Decision Analysis 2: EMV & EVPI - Expected Value & Perfect Information
https://www.youtube.com/watch?v=tbv9E9D2BRQ
Decision Analysis 4: EVSI - Expected Value of Sample Information
https://www.youtube.com/watch?v=FUY07dvaUuE
Decision Analysis 5: Posterior Probability Calculations
https://youtu.be/FpKiHpYnY_I
- published: 24 Jun 2015
- views: 753590
23:53
1. Decision Tree | ID3 Algorithm | Solved Numerical Example | by Mahesh Huddar
1. Decision Tree – ID3 Algorithm Solved Numerical Example by Mahesh Huddar
It takes a significant amount of time and energy to create these free video tutorial...
1. Decision Tree – ID3 Algorithm Solved Numerical Example by Mahesh Huddar
It takes a significant amount of time and energy to create these free video tutorials.
You can support my efforts in this way:
Buy me a Coffee: https://buymeacoffee.com/maheshhuddar
Decision Tree ID3 Algorithm Solved Example - 1: https://www.youtube.com/watch?v=gn85J4U4pbw
Decision Tree ID3 Algorithm Solved Example - 2: https://www.youtube.com/watch?v=JO2wiZif2OM
Decision Tree ID3 Algorithm Solved Example - 3: https://www.youtube.com/watch?v=2A8AGfxs0D8
Machine Learning Tutorial - https://www.youtube.com/playlist?list=PL4gu8xQu0_5JBO1FKRO5p20wc8DprlOgn
Big Data Analysis Tutorial - https://www.youtube.com/playlist?list=PL4gu8xQu0_5I_UtjmsGnjfhAEzcXoas1O
Data Science and Machine Learning Tutorial - https://www.youtube.com/playlist?list=PL4gu8xQu0_5JBO1FKRO5p20wc8DprlOgn
Python Tutorial - https://www.youtube.com/playlist?list=PL4gu8xQu0_5LBhuN1tdrdbId2MiaXXIwT
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https://wn.com/1._Decision_Tree_|_Id3_Algorithm_|_Solved_Numerical_Example_|_By_Mahesh_Huddar
1. Decision Tree – ID3 Algorithm Solved Numerical Example by Mahesh Huddar
It takes a significant amount of time and energy to create these free video tutorials.
You can support my efforts in this way:
Buy me a Coffee: https://buymeacoffee.com/maheshhuddar
Decision Tree ID3 Algorithm Solved Example - 1: https://www.youtube.com/watch?v=gn85J4U4pbw
Decision Tree ID3 Algorithm Solved Example - 2: https://www.youtube.com/watch?v=JO2wiZif2OM
Decision Tree ID3 Algorithm Solved Example - 3: https://www.youtube.com/watch?v=2A8AGfxs0D8
Machine Learning Tutorial - https://www.youtube.com/playlist?list=PL4gu8xQu0_5JBO1FKRO5p20wc8DprlOgn
Big Data Analysis Tutorial - https://www.youtube.com/playlist?list=PL4gu8xQu0_5I_UtjmsGnjfhAEzcXoas1O
Data Science and Machine Learning Tutorial - https://www.youtube.com/playlist?list=PL4gu8xQu0_5JBO1FKRO5p20wc8DprlOgn
Python Tutorial - https://www.youtube.com/playlist?list=PL4gu8xQu0_5LBhuN1tdrdbId2MiaXXIwT
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- published: 24 Sep 2020
- views: 1714549
9:53
Let’s Write a Decision Tree Classifier from Scratch - Machine Learning Recipes #8
Hey everyone! Glad to be back! Decision Tree classifiers are intuitive, interpretable, and one of my favorite supervised learning algorithms. In this episode, I...
Hey everyone! Glad to be back! Decision Tree classifiers are intuitive, interpretable, and one of my favorite supervised learning algorithms. In this episode, I’ll walk you through writing a Decision Tree classifier from scratch, in pure Python. I’ll introduce concepts including Decision Tree Learning, Gini Impurity, and Information Gain. Then, we’ll code it all up. Understanding how to accomplish this was helpful to me when I studied Machine Learning for the first time, and I hope it will prove useful to you as well.
You can find the code from this video here:
https://goo.gl/UdZoNr
https://goo.gl/ZpWYzt
Books!
Hands-On Machine Learning with Scikit-Learn and TensorFlow https://goo.gl/kM0anQ
Follow Josh on Twitter: https://twitter.com/random_forests
Check out more Machine Learning Recipes here: https://goo.gl/KewA03
Subscribe to the Google Developers channel: http://goo.gl/mQyv5L
https://wn.com/Let’S_Write_A_Decision_Tree_Classifier_From_Scratch_Machine_Learning_Recipes_8
Hey everyone! Glad to be back! Decision Tree classifiers are intuitive, interpretable, and one of my favorite supervised learning algorithms. In this episode, I’ll walk you through writing a Decision Tree classifier from scratch, in pure Python. I’ll introduce concepts including Decision Tree Learning, Gini Impurity, and Information Gain. Then, we’ll code it all up. Understanding how to accomplish this was helpful to me when I studied Machine Learning for the first time, and I hope it will prove useful to you as well.
You can find the code from this video here:
https://goo.gl/UdZoNr
https://goo.gl/ZpWYzt
Books!
Hands-On Machine Learning with Scikit-Learn and TensorFlow https://goo.gl/kM0anQ
Follow Josh on Twitter: https://twitter.com/random_forests
Check out more Machine Learning Recipes here: https://goo.gl/KewA03
Subscribe to the Google Developers channel: http://goo.gl/mQyv5L
- published: 13 Sep 2017
- views: 537012
32:40
Decision Tree In Machine Learning | Decision Tree Algorithm In Python |Machine Learning |Simplilearn
🔥Artificial Intelligence Engineer (IBM) - https://www.simplilearn.com/masters-in-artificial-intelligence?utm_campaign=RmajweUFKvM&utm_medium=DescriptionFirstFol...
🔥Artificial Intelligence Engineer (IBM) - https://www.simplilearn.com/masters-in-artificial-intelligence?utm_campaign=RmajweUFKvM&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Purdue - Post Graduate Program in AI and Machine Learning - https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=RmajweUFKvM&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥IITK - Professional Certificate Course in Generative AI and Machine Learning (India Only) - https://www.simplilearn.com/iitk-professional-certificate-course-ai-machine-learning?utm_campaign=RmajweUFKvM&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥IITG - Professional Certificate Program in Generative AI and Machine Learning (India Only) - https://www.simplilearn.com/iitg-generative-ai-machine-learning-program?utm_campaign=RmajweUFKvM&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Caltech - AI & Machine Learning Bootcamp (US Only) - https://www.simplilearn.com/ai-machine-learning-bootcamp?utm_campaign=RmajweUFKvM&utm_medium=DescriptionFirstFold&utm_source=Youtube
This Decision Tree in the Machine Learning tutorial will help you understand all the basics of the Decision Tree and how the Decision Tree algorithm works. In the end, we will implement a Decision Tree algorithm in Python on loan payment prediction. This Decision Tree tutorial is ideal for both beginners as well as professionals who want to learn Machine Learning Algorithms.
Below topics are covered in this Decision Tree Algorithm Tutorial:
0. Intro (0:00)
1. What is Machine Learning? ( 02:25 )
2. Types of Machine Learning? ( 03:27 )
3. Problems in Machine Learning ( 04:43 )
4. What is a Decision Tree? ( 06:29 )
5. What are the problems a Decision Tree Solves? ( 07:11 )
6. Advantages of Decision Tree ( 07:54 )
7. How does Decision Tree Work? ( 10:55 )
8. Use Case - Loan Repayment Prediction ( 14:32 )
Dataset Link - https://drive.google.com/drive/folders/1JybOOdRsMYH0z8fehVuFNLhZ60UsO-4W
✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH
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👉Learn more at: https://bit.ly/3fouyY0
#DecisionTreeMachineLearning #DecisionTree #DecisionTreeAlgorithm #DecisionTreeAlgorithmInMachineLearning #DecisionTreePython #DecisionTrees #DecisionTreeExample #MachineLearningAlgorithms #MachineLearningTutorial #Simplilearn
What is a Decision Tree Algorithm?
A Decision Tree is a supervised machine learning algorithm for solving classification problems. Generally, a decision tree is drawn upside down with its root at the top and it is known as the Top-Down Approach. Decision trees are used for handling non-linear data sets effectively. The decision tree tool is used in real life in many areas, such as engineering, civil planning, law, and business.
➡️ About Post Graduate Program In AI And Machine Learning
This AI ML course is designed to enhance your career in AI and ML by demystifying concepts like machine learning, deep learning, NLP, computer vision, reinforcement learning, and more. You'll also have access to 4 live sessions, led by industry experts, covering the latest advancements in AI such as generative modeling, ChatGPT, OpenAI, and chatbots.
✅ Key Features
- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 3 Capstones and 25+ Projects with industry data sets from Twitter, Uber, Mercedes Benz, and many more
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- Gain access to 4 live online sessions on latest AI trends such as ChatGPT, generative AI, explainable AI, and more
- Learn about the applications of ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools
✅ Skills Covered
- ChatGPT
- Generative AI
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- And Many More…
👉 Learn More At:
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This Decision Tree in the Machine Learning tutorial will help you understand all the basics of the Decision Tree and how the Decision Tree algorithm works. In the end, we will implement a Decision Tree algorithm in Python on loan payment prediction. This Decision Tree tutorial is ideal for both beginners as well as professionals who want to learn Machine Learning Algorithms.
Below topics are covered in this Decision Tree Algorithm Tutorial:
0. Intro (0:00)
1. What is Machine Learning? ( 02:25 )
2. Types of Machine Learning? ( 03:27 )
3. Problems in Machine Learning ( 04:43 )
4. What is a Decision Tree? ( 06:29 )
5. What are the problems a Decision Tree Solves? ( 07:11 )
6. Advantages of Decision Tree ( 07:54 )
7. How does Decision Tree Work? ( 10:55 )
8. Use Case - Loan Repayment Prediction ( 14:32 )
Dataset Link - https://drive.google.com/drive/folders/1JybOOdRsMYH0z8fehVuFNLhZ60UsO-4W
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#DecisionTreeMachineLearning #DecisionTree #DecisionTreeAlgorithm #DecisionTreeAlgorithmInMachineLearning #DecisionTreePython #DecisionTrees #DecisionTreeExample #MachineLearningAlgorithms #MachineLearningTutorial #Simplilearn
What is a Decision Tree Algorithm?
A Decision Tree is a supervised machine learning algorithm for solving classification problems. Generally, a decision tree is drawn upside down with its root at the top and it is known as the Top-Down Approach. Decision trees are used for handling non-linear data sets effectively. The decision tree tool is used in real life in many areas, such as engineering, civil planning, law, and business.
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- published: 20 Mar 2018
- views: 347251
10:54
How to MAKE (and USE) Decision Tree Analysis in Excel
⭐️⭐️⭐️ GET THIS TEMPLATE PLUS 52 MORE here: https://www.etsy.com/listing/1199800561/50-project-management-templates-in-excel
👍 Ready made and ready to use.
Ho...
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👍 Ready made and ready to use.
How to make a Decision Tree in Microsoft Excel, PLUS how to use one. This is a wonderful tool for more complex decisions, where we take the benefit or cost (often in dollars, but could be anything) and the probability of that item happening (as a percentage), to see which option out of many options will be the best outcome for us.
Timestamps
00:00 Decision Tree overview - How to use a decision tree
03:05 Creating our own Decision Tree
03:27 Making the Decision Tree Shapes
07:38 Using the shapes to make our Decision Tree
10:16 Finished Decision Tree
#ProjectManagement #Excel
See all the Project Template Excel and Powerpoint videos: https://www.youtube.com/playlist?list=PLEWFSKHjyrwydP0YBztsIdu47Csvp5KXf
https://wn.com/How_To_Make_(And_Use)_Decision_Tree_Analysis_In_Excel
⭐️⭐️⭐️ GET THIS TEMPLATE PLUS 52 MORE here: https://www.etsy.com/listing/1199800561/50-project-management-templates-in-excel
👍 Ready made and ready to use.
How to make a Decision Tree in Microsoft Excel, PLUS how to use one. This is a wonderful tool for more complex decisions, where we take the benefit or cost (often in dollars, but could be anything) and the probability of that item happening (as a percentage), to see which option out of many options will be the best outcome for us.
Timestamps
00:00 Decision Tree overview - How to use a decision tree
03:05 Creating our own Decision Tree
03:27 Making the Decision Tree Shapes
07:38 Using the shapes to make our Decision Tree
10:16 Finished Decision Tree
#ProjectManagement #Excel
See all the Project Template Excel and Powerpoint videos: https://www.youtube.com/playlist?list=PLEWFSKHjyrwydP0YBztsIdu47Csvp5KXf
- published: 20 Dec 2021
- views: 77056
3:38
03 Ordinal encoding (Categorical variable encoding - Python code Machine Learning AI)
In this video, we dive deep into the world of categorical data encoding, focusing on the Basic Encoding Techniques of Ordinal encoding. Whether you're new to da...
In this video, we dive deep into the world of categorical data encoding, focusing on the Basic Encoding Techniques of Ordinal encoding. Whether you're new to data science or looking to solidify your understanding, this video will guide you through step-by-step explanations and key concepts. You may want to check out other videos containing 37 other encoding methods, grouped into 8 comprehensive categories, a complete cheat-sheet on how to choose right method and comparative analysis using standard datasets.
Learn how each method works, the advantages and limitations of ordinal encoding. Enhance your knowledge and apply these techniques in your data preprocessing workflows for better performance in machine learning models.
What you'll learn in this video:
• In-depth explanation of Ordinal encoding
• Python code implementations for Ordinal encoding using one more of below libraries:
o Custom logic using Pandas and Numpy
o sklearn library
o category_encoder library
o feature_engine library
o
• When and why to choose Ordinal encoding method
This video is part of a larger series covering advanced categorical encoding methods. Subscribe to stay updated as we release detailed tutorials for all 38 encoding methods!
Methods covered in this series:
1. Basic Encoding Techniques (Simple transformation of categories into numbers)
• One-hot encoding
• Label encoding
• Ordinal encoding
2. Target-Based Encoding (Encoding based on relationship with the target variable)
• Target Encoding (Mean Encoding)
• Target Mean Encoding with k-fold Cross-validation
• Leave-One-Out Encoding
• Bayesian Encoding
• James-Stein Encoding
• M-estimator Encoding
• Smooth Target Encoding
• Probability Ratio Encoding
3. Frequency or Count Based Encoding (Using counts or frequency of categories)
• Frequency Encoding
• Count Encoding
4. Binary and Hash Encoding Methods (Represent categories in binary or hash form)
• Binary Encoding
• Hash Encoding
• Geohash Encoding
• Gray Encoding
• BaseN Encoding
5. Mathematical or Statistical Encoding (Using mathematical or statistical models)
• Effect Encoding (Deviation Encoding)
• Backward Difference Encoding
• Polynomial Encoding
• Generalized Linear Mixed Models (GLMM)
• Kernel Feature Maps
• Principal Component Encoding (PCA-based encoding)
• Regularized Encoding
• Weight of Evidence (WOE) Encoding
• CatBoost Encoding
6. Decision Tree-Based Encoding (Using decision trees for encoding)
• Decision Tree Encoding
7. Encoding for Special Scenarios (Handling special data types or cases)
• Thermometer Encoding
• Rank Hot Encoding
• Sum Encoding
• Quantile Encoding
• Similarity Encoding
• Time-based Encoding
• Rare Category Encoding
• Entity Embedding
8. Advanced Encoding (More complex or rarely used methods)
• Facet Encoding
• Difference Encoding (Helmert Encoding)
Keywords: categorical encoding, Ordinal, data preprocessing, machine learning, data science, categorical variables, feature engineering, encoding techniques, python coding, basic encoding, data transformation, data handling, machine learning models, supervised learning, real-world examples, encoding in python, data processing, AI, machine learning tutorial, data science beginner, ordinal data, nominal data, python tutorial, encoding methods comparison, feature encoding, data science series
03 Ordinal encoding (Categorical variable encoding - Python code Machine Learning AI)
https://youtu.be/zxIHaYjfpuM
https://youtu.be/zxIHaYjfpuM
https://www.youtube.com/watch?v=zxIHaYjfpuM&t=4s
https://www.youtube.com/watch?v=zxIHaYjfpuM&t=4s
https://wn.com/03_Ordinal_Encoding_(Categorical_Variable_Encoding_Python_Code_Machine_Learning_Ai)
In this video, we dive deep into the world of categorical data encoding, focusing on the Basic Encoding Techniques of Ordinal encoding. Whether you're new to data science or looking to solidify your understanding, this video will guide you through step-by-step explanations and key concepts. You may want to check out other videos containing 37 other encoding methods, grouped into 8 comprehensive categories, a complete cheat-sheet on how to choose right method and comparative analysis using standard datasets.
Learn how each method works, the advantages and limitations of ordinal encoding. Enhance your knowledge and apply these techniques in your data preprocessing workflows for better performance in machine learning models.
What you'll learn in this video:
• In-depth explanation of Ordinal encoding
• Python code implementations for Ordinal encoding using one more of below libraries:
o Custom logic using Pandas and Numpy
o sklearn library
o category_encoder library
o feature_engine library
o
• When and why to choose Ordinal encoding method
This video is part of a larger series covering advanced categorical encoding methods. Subscribe to stay updated as we release detailed tutorials for all 38 encoding methods!
Methods covered in this series:
1. Basic Encoding Techniques (Simple transformation of categories into numbers)
• One-hot encoding
• Label encoding
• Ordinal encoding
2. Target-Based Encoding (Encoding based on relationship with the target variable)
• Target Encoding (Mean Encoding)
• Target Mean Encoding with k-fold Cross-validation
• Leave-One-Out Encoding
• Bayesian Encoding
• James-Stein Encoding
• M-estimator Encoding
• Smooth Target Encoding
• Probability Ratio Encoding
3. Frequency or Count Based Encoding (Using counts or frequency of categories)
• Frequency Encoding
• Count Encoding
4. Binary and Hash Encoding Methods (Represent categories in binary or hash form)
• Binary Encoding
• Hash Encoding
• Geohash Encoding
• Gray Encoding
• BaseN Encoding
5. Mathematical or Statistical Encoding (Using mathematical or statistical models)
• Effect Encoding (Deviation Encoding)
• Backward Difference Encoding
• Polynomial Encoding
• Generalized Linear Mixed Models (GLMM)
• Kernel Feature Maps
• Principal Component Encoding (PCA-based encoding)
• Regularized Encoding
• Weight of Evidence (WOE) Encoding
• CatBoost Encoding
6. Decision Tree-Based Encoding (Using decision trees for encoding)
• Decision Tree Encoding
7. Encoding for Special Scenarios (Handling special data types or cases)
• Thermometer Encoding
• Rank Hot Encoding
• Sum Encoding
• Quantile Encoding
• Similarity Encoding
• Time-based Encoding
• Rare Category Encoding
• Entity Embedding
8. Advanced Encoding (More complex or rarely used methods)
• Facet Encoding
• Difference Encoding (Helmert Encoding)
Keywords: categorical encoding, Ordinal, data preprocessing, machine learning, data science, categorical variables, feature engineering, encoding techniques, python coding, basic encoding, data transformation, data handling, machine learning models, supervised learning, real-world examples, encoding in python, data processing, AI, machine learning tutorial, data science beginner, ordinal data, nominal data, python tutorial, encoding methods comparison, feature encoding, data science series
03 Ordinal encoding (Categorical variable encoding - Python code Machine Learning AI)
https://youtu.be/zxIHaYjfpuM
https://youtu.be/zxIHaYjfpuM
https://www.youtube.com/watch?v=zxIHaYjfpuM&t=4s
https://www.youtube.com/watch?v=zxIHaYjfpuM&t=4s
- published: 23 Sep 2024
- views: 9
4:41
Introduction to Decision Trees
Just-in-Time Videos - Management: Introduction to Decision Trees
Presented and Prepared by Charlene Chu
in Collaboration with Maria Wesslén
Just-in-Time Videos - Management: Introduction to Decision Trees
Presented and Prepared by Charlene Chu
in Collaboration with Maria Wesslén
https://wn.com/Introduction_To_Decision_Trees
Just-in-Time Videos - Management: Introduction to Decision Trees
Presented and Prepared by Charlene Chu
in Collaboration with Maria Wesslén
- published: 10 Sep 2015
- views: 115274