Master AI and Machine Learning: From Neural Networks to Applications
Power BI Fundamentals - Create visualizations and dashboards from scratch
Overview
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This course teaches feature selection for machine learning through variance thresholds, Pearson correlation, information gain for classification and regression, and chi-square statistical analysis.
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