#51: Scikit-learn 48:Supervised Learning 26: Intuition Robustness Regression

The video discusses the intuition for Robust Regression algorithm such as RANSAC, Theil Sen and Huber regressor.

Timeline

00:00 - Outline of video
00:36 - Outliers and Robustness: Not robust vs. Robust
02:37 - Examples of outliers or corrupt data: outliers in x and y direction
03:54 - Examples of outliers or corrupt data: small and large outliers
04:24 - RANSAC: RANdom SAmple Consensus
04:54 - * * * Typo * * *: 'inliers' instead of 'inliners'
05:33 - RANSAC: Intuition
07:54 - RANSAC: algorithm
09:44 - Theil-Sen estimator
10:04 - Theil-Sen: Intuition
11:30 - * * * CORRECTION * * *: mean to say "calculate the value of intercept 'b'" and not 'y'
13:57 - Huber Regressor: Objective function
14:57 - Code snippet
16:26 - Ending notes