{"id":15664312,"url":"https://github.com/solegalli/feature-selection-in-machine-learning-book","last_synced_at":"2025-05-05T21:45:39.123Z","repository":{"id":56774577,"uuid":"506372980","full_name":"solegalli/feature-selection-in-machine-learning-book","owner":"solegalli","description":"Code repository for the book feature selection in machine learning","archived":false,"fork":false,"pushed_at":"2025-02-04T10:43:11.000Z","size":6692,"stargazers_count":28,"open_issues_count":0,"forks_count":13,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-03-31T00:04:29.650Z","etag":null,"topics":["data-science","feature-selection","machine-learning","machine-learning-tutorials","python"],"latest_commit_sha":null,"homepage":"https://www.trainindata.com/p/feature-selection-in-machine-learning-book","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":"2022-06-22T19:03:09.000Z","updated_at":"2025-03-17T09:36:40.000Z","dependencies_parsed_at":"2024-10-03T13:42:12.242Z","dependency_job_id":"71fe6da7-b8ac-4e33-9e0a-14aa7f0da03f","html_url":"https://github.com/solegalli/feature-selection-in-machine-learning-book","commit_stats":null,"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-in-machine-learning-book","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/solegalli%2Ffeature-selection-in-machine-learning-book/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/solegalli%2Ffeature-selection-in-machine-learning-book/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/solegalli%2Ffeature-selection-in-machine-learning-book/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/solegalli","download_url":"https://codeload.github.com/solegalli/feature-selection-in-machine-learning-book/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":246527404,"owners_count":20792061,"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","machine-learning-tutorials","python"],"created_at":"2024-10-03T13:42:02.892Z","updated_at":"2025-03-31T19:32:00.811Z","avatar_url":"https://github.com/solegalli.png","language":"Jupyter Notebook","funding_links":["https://github.com/sponsors/solegalli"],"categories":[],"sub_categories":[],"readme":"[![License https://github.com/solegalli/feature-selection-in-machine-learning/blob/main/LICENSE](https://img.shields.io/badge/license-BSD-success.svg)](https://github.com/solegalli/feature-selection-in-machine-learning/blob/main/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 in Machine Learning Book - Code Repository\n\n- Published: August, 2022\n- Updated: February, 2025\n\n[\u003cimg src=\"./FSML-bookcover.png\" width=\"248\"\u003e](https://www.trainindata.com/p/feature-selection-in-machine-learning-book)\n\n## Links\n\n- [Book](https://www.trainindata.com/p/feature-selection-in-machine-learning-book)\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. Smart Correlation\n\n3. **Statistical methods**\n\t1. Chi-square distribution\n\t2. Anova\n\t3. Correlation\n\t4. Mutual information\n\n4. **Univariate Methods**\n\t1. Single feature classifiers / regressors\n\t2. Target mean encoding\n\n5. **Wrapper Methods**\n\t1. Exhaustive Feature Selection\n\t2. Step Forward Feature Selection\n\t3. Step Backward Feature Selection \n\n6. **Embedded Methods: Linear Model Coefficients**\n\t1. Lasso\n\t2. Decision tree feature importance\n\n7. **Recursive Feature Elimination**\n\t1. RFE - embedded importance\n\t2. RFE - model performance\n\n8. **Alternative Feature Selection Methods**\n\t1. Feature Shuffling\n\t3. Recursive Feature Addition\n\t4. Probe Features\n\t5. MRMR\n\n\n- [Book](https://www.trainindata.com/p/feature-selection-in-machine-learning-book)\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsolegalli%2Ffeature-selection-in-machine-learning-book","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsolegalli%2Ffeature-selection-in-machine-learning-book","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsolegalli%2Ffeature-selection-in-machine-learning-book/lists"}