"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