Introduction To Data Analytics | Data Pre-Processing with Feature Construction & Feature Selection
This is an introduction video for everyone who is looking to switch career path and get into the field of data analytics / data science.
This is part 4 of the seven series video where I talk about each step of the KDD Process which is a popular process used for end - to - end machine learning problem.
Timecodes
0:00 - Intro
1:02 - Today's Topic
1:45 - Feature Construction
2:45 - Feature Construction with Domain Knowledge
4:16 - Feature Construction with Aggregations
5:30 - Feature Selection
6:50 - Types of Feature Selection Methods
7:49 - Filter vs Warper Technique
8:30 - Filter Based Feature Selection Methods
11:14 - Warper Based Feature Selection Methods
12:52 - Embedded Methods
13:34 - Summary
16:38 - Python & R Implementation
17:00 - outro
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