Learn essential feature selection techniques in machine learning through a comprehensive tutorial series. Explore methods to drop constant features using variance threshold, eliminate redundant features with Pearson correlation, select features using information gain for both classification and regression tasks, and perform feature selection using Chi2 statistical analysis. Gain practical insights into various feature selection techniques to enhance your machine learning models' performance and efficiency.
Overview
Syllabus
Tutorial 1- Feature Selection-How To Drop Constant Features Using Variance Threshold.
Tutorial 2- Feature Selection-How To Drop Features Using Pearson Correlation.
Tutorial 3- Feature Selection-How To Select Features Using Information Gain For Classification In ML.
Tutorial 4- Feature Selection-Perform Feature Selection Using Information Gain For Regression In ML.
Tutorial 5- Feature Selection-Perform Feature Selection Using Chi2 Statistical Analysis.
Live-Features Selection-Various Techniques To Select Features Day 7.
Taught by
Krish Naik
