Feature Selection Methods for Machine Learning, plus Feature Selection Curves

Feature Selection in Machine Learning, plus Feature Selection Curves Notebook at: https://bit.ly/raj_fs or https://projects.rajivshah.com/blog/Feature_Selection.html Content: 0:00 Introduction 0:30 Feature Selection in the ML Lifecycle 1:23 Intro to Notebook 1:45 MNIST and Madelon Datasets 3:40 F-statistic & Mutual Information 3:56 Logistic Regression 4:45 Logistics Regression with Lasso (L1) Regularization 5:23 Feature Importance 6:19 Boruta 7:08 MRMR (Minimum Redundancy Maximum Relevance) 7:55 Feature Selection Curves 10:05 Recursive Feature Elimination 11:42 Feature importance rank ensembling (FIRE) 12:40 Additional Resources (FeatureViz and Kaggle Notebooks) ━━━━━━━━━━━━━━━━━━━━━━━━━ ★ Rajistics Social Media » ● Home Page: http://www.rajivshah.com ● LinkedIn: https://www.linkedin.com/in/rajistics/ ━━━━━━━━━━━━━━━━━━━━━━━━━