Learn how to do feature engineering for tabular data like a Kaggle Grandmaster and get high-performance machine learning models.

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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

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LinkedIn: https://www.linkedin.com/in/mariofilho/
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