"A set of Jupyter Notebooks on feature selection methods in Python for machine learning. It covers techniques like constant feature removal, correlation analysis, information gain, chi-square testing, univariate selection, and feature importance, with datasets included for practical application.
python feature-selection housing feature-engineering constant feature chi-square information-gain chi-square-test pearson-correlation feature-importance pearson-correlation-coefficient housing-dataset features-removal univariance-selection univariance mobile-dataset
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Updated
May 28, 2023 - Jupyter Notebook