[B! kaggle] InoHiroã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯

InoHiro id:InoHiro

kaggleã«é–¢ã™ã‚‹InoHiroã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯ (9)

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ç¤¾å†…ã§Kaggleã®å¸ƒæ•™æ´»å‹•ã‚’ã‚„ã£ã¦ã„ã‚‹è©± - yasuhisa's blog
æœ€è¿‘ã€ç¤¾å†…å‹‰å¼·ä¼šã§æ©Ÿæ¢°å¦ç¿’ã«ã¤ã„ã¦ã‚¨ãƒ³ã‚¸ãƒ‹ã‚¢ã«èª¬æ˜Žã™ã‚‹æ©Ÿä¼šãŒã‚ã‚Šã€ãã®éš›ã«Kaggleã«ã¤ã„ã¦ã‚‚èª¬æ˜Žã—ã¾ã—ãŸã€‚ä¸€æ–¹ã§ ã†ãƒ¼ã‚“ã€ã€ŒKaggler ã¯ãƒ‘ãƒ©ãƒ¡ãƒ¼ã‚¿ãƒãƒ¥ãƒ¼ãƒ‹ãƒ³ã‚°ã‚„ã‚¢ãƒ³ã‚µãƒ³ãƒ–ãƒ«ç‰ã®è‡ªæ˜Žã§ã‚¤ãƒ³ã‚¯ãƒªãƒ¡ãƒ³ã‚¿ãƒ«ãªæ”¹å–„ã€Žã—ã‹ã€ã§ããªã„ã€ã¨ã„ã†ã‚ˆã†ãªèª¤è§£ã¯ã©ã†ã‚„ã£ã¦è§£ã„ã¦ã„ã‘ã°ã„ã„ã‚“ã ã‚ã†ã€‚â€” im132nd (@im132nd) 2018å¹´4æœˆ4æ—¥ ã¨ã„ã†è©±ã‚‚ã‚ã‚Šã€(ç‰¹ã«ãƒ‡ãƒ¼ã‚¿ã‚µã‚¤ã‚¨ãƒ³ãƒ†ã‚£ã‚¹ãƒˆä»¥å¤–ã®è·ç¨®ã®äººãŒ)Kaggleã‚’ã‚„ã‚‹æ„ç¾©/ãƒ¡ãƒªãƒƒãƒˆã«ã¤ã„ã¦ã¾ã¨ã‚ã¦ã¿ã¾ã—ãŸã€‚ã‚¬ãƒƒã¨å‹¢ã„ã§æ›¸ã„ãŸã®ã§ã€é …ç›®ã«çµæ§‹è¢«ã‚ŠãŒã‚ã‚Šã¾ã™ã€‚ãªãŠã€æ›¸ã„ã¦ã„ã‚‹æœ¬äººã¯Kaggleã»ã¼åˆå¿ƒè€…ã§ã‚ã¾ã‚Šèª¬å¾—åŠ›ãŒãªã„ã§ã™ã€‚Kaggle Masterã®äººãŒã‚‚ã£ã¨ã„ã„ã‚¨ãƒ³ãƒˆãƒªã‚’æ›¸ã„ã¦ãã‚Œã‚‹ã®ã‚’æœŸå¾…ã—ã¦ã„ã¾ã™ã€è°è«–ã®å©ãå°ã‚¨ãƒ³ãƒˆãƒªã§ã™!! Kaggleã‚’ã‚„ã‚‹æ„ç¾©/ãƒ¡ãƒªãƒƒãƒˆ æ§˜ã€…ãªãƒ‡ãƒ¼ã‚¿ã‚»ãƒƒãƒˆã‚’è§¦ã‚‹ã“ã¨ãŒã§ãã‚‹ kernelã§ãƒ‡ãƒ¼ã‚¿åˆ†æžã®
InoHiro 2018/04/11
kaggle
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MERCARI PRIZE
PRICE SUGGESTION CHALLENGE ON KAGGLE 21ST NOV 2017 - 21ST FEB 2018 UTC COMPETITION DETAILS Challenge Participants will work with data provided from the US version of our Mercari marketplace app to create a price suggestion model for listed it ems. The competition will be judged based on the accuracy of each participantâ€™s respective price suggestions (i.e. the gap between their suggestions and actua
InoHiro 2017/11/22
kaggle

mercari
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ãƒ‡ãƒ¼ã‚¿åˆ†æžã‚³ãƒ³ãƒ†ã‚¹ãƒˆã®æŠ€è¡“ã¨æœ€è¿‘ã®é€²å±•
ç¬¬14å›žã‚¹ãƒ†ã‚¢ãƒ©ãƒœäººå·¥çŸ¥èƒ½ã‚»ãƒŸãƒŠãƒ¼ https://stair.connpass.com/event/68515/ ã®ç™ºè¡¨è³‡æ–™ã§ã™ï¼Ž å…±æœ‰ç”¨ã®ã‚·ãƒ§ãƒ¼ãƒˆã‚«ãƒƒãƒˆURL: https://goo.gl/MgFmJk
InoHiro 2017/10/26
kaggle
ãƒªãƒ³ã‚¯
Find Open Datasets and Machine Learning Projects | Kaggle
Download Open Datasets on 1000s of Projects + Share Projects on One Platform. Explore Popular Topics Like Government, Sports, Medicine, Fintech, Food, More. Flexible Data Ingestion.
InoHiro 2017/08/09
kaggle

dataset
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Craft Beers Dataset
2K+ craft canned beers from the US and 500+ breweries in the United States.
InoHiro 2017/08/09
kaggle

dataset
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Welcome Kaggle to Google Cloud | Google Cloud Blog
Fei-Fei LiChief Scientist, Google Cloud AI and Machine Learning San FranciscoÂ â€”Â Today, Iâ€™m excited to announce that Kaggle will be joining Google Cloud. Founded in 2010, Kaggle is home to the world's largest community of data scientists and machine learning enthusiasts. More than 800,000 data experts use Kaggle to explore, analyze and understand the latest updates in machine learning and data anal
InoHiro 2017/03/09
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google

kaggle
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Kaggleä½“é¨“è¨˜ï¼ˆTopCoderæ©Ÿæ¢°å¦ç¿’ãƒžãƒ©ã‚½ãƒ³ã¨ã®é•ã„ãªã©ï¼‰ - ã˜ã˜ã„ã®ãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚°
tanzakuã•ã‚“ã€ä»Šå¹´ã‚‚ã‚ã‚ŠãŒã¨ã†ã”ã–ã„ã¾ã™ï¼ Competitive Programming ï¼ˆãã®2ï¼‰ Advent Calendar 2016 - Adventarã®25æ—¥ç›®ï¼ ã¯ã˜ã‚ã« Kaggleï¼ˆhttps://www.kaggle.com/ï¼‰ã‚‚ã€TopCoderæ©Ÿæ¢°å¦ç¿’ãƒžãƒ©ã‚½ãƒ³ï¼ˆTopCoderï¼‰ã‚‚ã€åºƒç¾©ã®ç«¶æŠ€ãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚°ï¼ ã¨ã„ã†ã“ã¨ã§ã€ä»Šå›žKaggleã«è»½ã‚ã«å‚åŠ ã—ã¦ã¿ã¾ã—ãŸã€‚ã“ã‚Œã‚‰ã®é•ã„ã«ã¤ã„ã¦å–ã‚Šã‚ã’ã‚ˆã†ã¨æ€ã„ã¾ã™ã€‚æ©Ÿæ¢°å¦ç¿’ãã®ã‚‚ã®ã«ã¤ã„ã¦ã¯å–ã‚Šä¸Šã’ã¦ã¾ã›ã‚“ã€‚ã‚ã—ã‹ã‚‰ãšã€‚ Kaggleã®ç‰¹å¾´ï¼ˆTopCoderã¨ç•°ãªã‚‹ç‚¹ï¼‰ äºˆæ¸¬ãƒ‡ãƒ¼ã‚¿ã®ã¿ã‚’æå‡ºã™ã‚Œã°è‰¯ã„ã€‚ TopCoderã¯ã€ãƒžãƒƒãƒã«ã‚ˆã‚Šã€äºˆæ¸¬ã™ã‚‹å®Ÿè¡Œã‚³ãƒ¼ãƒ‰ã‚’æå‡ºã™ã‚‹å½¢å¼ã‹ã€äºˆæ¸¬ã—ãŸãƒ‡ãƒ¼ã‚¿ã‚’æå‡ºã™ã‚‹å½¢å¼ã‹é•ã£ã¦ãã¾ã™ãŒã€Kaggleã¯ã€ã»ã¼äºˆæ¸¬ãƒ‡ãƒ¼ã‚¿ã®ã¿æå‡ºã§ã™ï¼ˆä¾‹å¤–ã¯ã‚ã‚‹ï¼‰ã€‚ãã†ã„ã†ã‚ã‘ã§ã€ãƒ©ã‚¤ãƒ–ãƒ©ãƒªã‚„è¨ˆç®—è³‡æºã‚’
InoHiro 2016/12/30
kaggle
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How to Get Into the Top 15 of a Kaggle Competition Using Python â€“ Dataquest
How to Get Into the Top 15 of a Kaggle Competition Using Python Kaggle competitions are a fantastic way to learn data science and build your portfolio. I personally used Kaggle to learn many data science concepts. I started out with Kaggle a few months after learning programming, and later won several competitions. Doing well in a Kaggle competition requires more than just knowing machine learning
InoHiro 2016/05/06
kaggle

python
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å®Ÿè·µå¤šã‚¯ãƒ©ã‚¹åˆ†é¡ž Kaggle Ottoã‹ã‚‰å¦ã‚“ã ã“ã¨
3. kaggle Otto Group Product Classification Challenge IN:93å€‹ã®ç‰¹å¾´é‡ã€OUT:9ã‚¯ãƒ©ã‚¹ã«åˆ†é¡ž train.csv 61878è¡Œ test.csv 144368è¡Œ å„ã‚¯ãƒ©ã‚¹ã§ã‚ã‚‹ç¢ºçŽ‡ã‚’æå‡ºã—ã€log lossã§è©•ä¾¡ 3 5. Stratified K Fold train.csvã¯å„ã‚¯ãƒ©ã‚¹ã”ã¨ã«ãƒ‡ãƒ¼ã‚¿ãŒä¸¦ã‚“ã§ã„ãŸ â†’å˜ç´”ã«åˆ†å‰²ã—ã¦ãƒ†ã‚¹ãƒˆãƒ‡ãƒ¼ã‚¿ã«ã—ã¦ã¯ã„ã‘ãªã„ â†’Scikit-learnãŒè‰²ã€…ãªæ–¹æ³•ã‚’æä¾›ã—ã¦ã„ã‚‹ ä¾‹: StratifiedKFoldï¼šã‚¯ãƒ©ã‚¹æ¯”çŽ‡ã‚’ä¿ã¤ã‚ˆã†ã«åˆ†å‰² 5 def do_cross_validation(): model = make_model() cv = cross_validation.StratifiedKFold(ys) scores = cross_validation.cross_val_sc
InoHiro 2015/10/06
kaggle
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