#16: Scikit-learn 13: Preprocessing 13: Intuition for Binning, KBinsDiscretizer

YouTube Excerpt: The video discusses the intuition behind binning and KBinsDiscretizer in Scikit-learn in Python. Timeline (Python 3.8) 00:00 - Outline of video 00:37 - What is Discretization? 01:20 - What are bins? Binning 03:49 - What are bins? KBinsDiscretizer 04:00 - --------- CORRECTION --------- I meant to say "we have 3 options" and not "4 options" 04:21 - KBinsDiscretizer: strategy = 'uniform' 05:44 - KBinsDiscretizer: strategy = 'quantile' 06:21 - -------- CORRECTION -------- typo./misspoke bin [1,2) has 1,1 (and not 0,1,1) 06:57 - KBinsDiscretizer: strategy = 'kmeans' 10:26 - Code snippet: KBinsDiscretizer 10:30 - * * * CORRECTION * * *: Missing ']' bracket. after [6.7] as np.array([[1,2],[4,3],[6,7]]) 12:28 - Ending notes Video link to OneHotEncoder, Ordinal Encoder: https://www.youtube.com/watch?v=I1ffOg_0Z08&ab_channel=learndataa Video link to Quantile, Quartile: https://www.youtube.com/watch?v=ByjPLoxQAZk&ab_channel=learndataa

The video discusses the intuition behind binning and KBinsDiscretizer in Scikit-learn in Python. Timeline (Python 3.8) 00:00 - Outline of...

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