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

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:
   • #15: Scikit-learn 12: Preprocessing 1...  

Video link to Quantile, Quartile:
   • #10: Scikit-learn 7: Preprocessing 7:...