The course teaches learners how to perform feature selection in machine learning by dropping constant features using variance threshold, dropping features using Pearson correlation, selecting features using information gain for classification, and performing feature selection using information gain for regression. The course also covers performing feature selection using Chi2 statistical analysis. The teaching method includes tutorials and live demonstrations of various feature selection techniques. The course is intended for individuals interested in machine learning and data science.
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
