Feature Engineering Techniques For Machine Learning in Python

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Timeline:
00:00 Introduction
1:44 Initial Setup
10:00 Dimensionality Reduction (PCA)
16:22 Preprocessing / Scaling
26:08 Categorical Encoding (Dummy / One-Hot)
33:09 Binning (Grouping / Aggregating)
37:56 Clustering (K-Means)
44:08 Feature Selection