{"id":15629224,"url":"https://github.com/solegalli/feature-selection-for-machine-learning","last_synced_at":"2025-05-15T16:05:31.454Z","repository":{"id":37965751,"uuid":"232615180","full_name":"solegalli/feature-selection-for-machine-learning","owner":"solegalli","description":"Code repository for the online course Feature Selection for Machine Learning","archived":false,"fork":false,"pushed_at":"2024-10-31T10:00:58.000Z","size":3653,"stargazers_count":316,"open_issues_count":2,"forks_count":342,"subscribers_count":9,"default_branch":"main","last_synced_at":"2025-04-07T21:14:07.112Z","etag":null,"topics":["data-science","feature-selection","machine-learning","python"],"latest_commit_sha":null,"homepage":"https://www.courses.trainindata.com/p/feature-selection-for-machine-learning","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/solegalli.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":".github/FUNDING.yml","license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null},"funding":{"github":["solegalli"]}},"created_at":"2020-01-08T17:08:12.000Z","updated_at":"2025-03-25T07:05:01.000Z","dependencies_parsed_at":"2024-01-09T13:55:51.987Z","dependency_job_id":"4e13a611-eef5-4ea6-ae2c-b2dd7a6a7dc0","html_url":"https://github.com/solegalli/feature-selection-for-machine-learning","commit_stats":{"total_commits":21,"total_committers":2,"mean_commits":10.5,"dds":0.04761904761904767,"last_synced_commit":"74ac9e9ba077c41a88e6292beb689126426a812f"},"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/solegalli%2Ffeature-selection-for-machine-learning","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/solegalli%2Ffeature-selection-for-machine-learning/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/solegalli%2Ffeature-selection-for-machine-learning/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/solegalli%2Ffeature-selection-for-machine-learning/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/solegalli","download_url":"https://codeload.github.com/solegalli/feature-selection-for-machine-learning/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":254374417,"owners_count":22060610,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["data-science","feature-selection","machine-learning","python"],"created_at":"2024-10-03T10:26:18.453Z","updated_at":"2025-05-15T16:05:31.437Z","avatar_url":"https://github.com/solegalli.png","language":"Jupyter Notebook","readme":"![PythonVersion](https://img.shields.io/badge/python-3.6%20|3.7%20|%203.8%20|%203.9-success)\n[![License https://github.com/solegalli/feature-selection-for-machine-learning/blob/master/LICENSE](https://img.shields.io/badge/license-BSD-success.svg)](https://github.com/solegalli/feature-selection-for-machine-learning/blob/master/LICENSE)\n[![Sponsorship https://www.trainindata.com/](https://img.shields.io/badge/Powered%20By-TrainInData-orange.svg)](https://www.trainindata.com/)\n\n## Feature Selection for Machine Learning - Code Repository\n\n[\u003cimg src=\"./course-banner.png\"\u003e](https://www.trainindata.com/p/feature-selection-for-machine-learning)\n\n**Launched**: February, 2018\n\n**Updated**: October, 2024\n\nActively maintained.\n\n[\u003cimg src=\"./feature_selection.png\" width=\"248\"\u003e](https://www.trainindata.com/p/feature-selection-for-machine-learning)\n\n## Links\n\n- [Online Course](https://www.trainindata.com/p/feature-selection-for-machine-learning)\n\n\n## Table of Contents\n\n1. **Basic Selection Methods**\n\t1. Removing Constant Features\n\t2. Removing Quasi-Constant Features\n\t3. Removing Duplicated Features\n\n2. **Correlation Feature Selection**\n\t1. Removing Correlated Features \n\t2. Basic Selection Methods + Correlation - Pipeline\n\n3. **Filter Methods: Statistical Methods**\n\t1. Mutual Information\n\t2. Chi-square distribution\n\t3. Anova\n\t4. Basic Selection Methods + Statistical Methods - Pipeline\n\n   \n4. **Filter Methods: Other Methods and Metrics**\n\t1. Univariate roc-auc, mse, etc\n\t2. Method used in a KDD competition - 2009\n\n5. **Wrapper Methods**\n\t1. Step Forward Feature Selection\n\t2. Step Backward Feature Selection\n\t3. Exhaustive Feature Selection\n\n6. **Embedded Methods: Linear Model Coefficients**\n\t1. Logistic Regression Coefficients\n\t2. Linear Regression Coefficients\n\t3. Effect of Regularization on Coefficients\n\t4. Basic Selection Methods + Correlation + Embedded - Pipeline \n\n7. **Embedded Methods: Lasso**\n\t1. Lasso \n\t2. Basic Selection Methods + Correlation + Lasso - Pipeline \n\n8. **Embedded Methods: Tree Importance**\n\t1. Random Forest derived Feature Importance\n\t2. Tree importance + Recursive Feature Elimination\n\t3. Basic Selection Methods + Correlation + Tree importance - Pipeline\n\n9. **Hybrid Feature Selection Methods**\n\t1. Feature Shuffling\n\t2. Recursive Feature Elimination\n\t3. Recursive Feature Addition\n\n\n## Links\n\n- [Online Course](https://www.trainindata.com/p/feature-selection-for-machine-learning)\n","funding_links":["https://github.com/sponsors/solegalli"],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsolegalli%2Ffeature-selection-for-machine-learning","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsolegalli%2Ffeature-selection-for-machine-learning","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsolegalli%2Ffeature-selection-for-machine-learning/lists"}