Feature Engineering Secret From A Kaggle Grandmaster

Learn how to do feature engineering for tabular data like a Kaggle Grandmaster and get high-performance machine learning models. Like the video? Subscribe and turn on the notifications to get more tips :) 0:00 Intro 1:38 The One Question To Ask Yourself 2:40 Credit Card Fraud Examples 6:34 Brief Info On Categorical Features 7:23 Time Series Feature Engineering 11:53 An Extremely Valuable Exercise To Improve Feature Engineering Skills 18:18 An Useful Feature Engineering Guide and Library in Python 19:21 Spatial Feature Engineering 20:12 Graph-based Feature Engineering Links: Facebook Competition: https://www.kaggle.com/c/facebook-recruiting-iv-human-or-bot/data Small Yellow Duck Solution: http://small-yellow-duck.github.io/auction.html https://www.kaggle.com/c/facebook-recruiting-iv-human-or-bot/discussion/14628 FeatureTools: https://featuretools.alteryx.com/en/stable/getting_started/primitives.html Kazuki Onodera Instacart Solution: https://github.com/KazukiOnodera/Instacart ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ // SUPPORT THE CHANNEL 👇❤️ Sign up for a Coursera course: https://imp.i384100.net/EaDmQe ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ // SOCIAL MEDIA LinkedIn: https://www.linkedin.com/in/mariofilho/ Kaggle: https://kaggle.com/mariofilho Twitter: https://twitter.com/mariofilhoml Blog: https://forecastegy.com Some links above can be from partnerships where I get a commission if you buy a product, without any additional cost to you. Thanks for the support!