Content-Length: 271406 | pFad | http://github.com/tanvirnwu/Feature-Selection--Python

F9 GitHub - tanvirnwu/Feature-Selection--Python: "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.

tanvirnwu / Feature-Selection--Python Public

Notifications You must be signed in to change notification settings
Fork 0
Star 5

"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.

5 stars 0 forks Branches Tags Activity

Star

Notifications

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 11 Commits
.gitignore		.gitignore
FS1 - Constant Features Removal.ipynb		FS1 - Constant Features Removal.ipynb
FS2 - Pearson Correlation.ipynb		FS2 - Pearson Correlation.ipynb
FS3 - Information Gain For Classification.ipynb		FS3 - Information Gain For Classification.ipynb
FS4 - Information Gain for Regression.ipynb		FS4 - Information Gain for Regression.ipynb
FS5 - Chi-square Test For Object Feature Selection.ipynb		FS5 - Chi-square Test For Object Feature Selection.ipynb
FS6 - Univariance Selection.ipynb		FS6 - Univariance Selection.ipynb
FS7 - Feature Importance.ipynb		FS7 - Feature Importance.ipynb
Housing.csv		Housing.csv
README.md		README.md
mobile_dataset.csv		mobile_dataset.csv
santander.zip		santander.zip