{"id":14958277,"url":"https://github.com/anujvyas/machine-learning-projects","last_synced_at":"2025-04-04T19:11:32.361Z","repository":{"id":43456875,"uuid":"249688123","full_name":"anujvyas/Machine-Learning-Projects","owner":"anujvyas","description":"This repository consists of all my Machine Learning Projects.","archived":false,"fork":false,"pushed_at":"2023-07-22T12:19:30.000Z","size":7718,"stargazers_count":621,"open_issues_count":1,"forks_count":137,"subscribers_count":5,"default_branch":"master","last_synced_at":"2025-04-04T19:11:23.757Z","etag":null,"topics":["classification","clustering","deployment","google-colab","jupyter-notebook","machine-learning","matplotlib","numpy","pandas","python","regression","seaborn","sklearn"],"latest_commit_sha":null,"homepage":"","language":"Jupyter 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Notebook","readme":"# Machine Learning Projects\r\n![Dataset](https://img.shields.io/badge/Dataset-Kaggle-blue.svg) ![Python 3.6](https://img.shields.io/badge/Python-3.6-brightgreen.svg) ![NLTK](https://img.shields.io/badge/Library-sklearn-orange.svg)\r\n\r\n![ML](readme-resources/machine-learning.png)\r\n\r\n## Why this repository?\r\n• The main purpose of making this repository is to keep all my Machine Learning projects at one place, hence keeping my GitHub clean!\u003cbr/\u003e\r\n• It looks good, isn't it?\r\n\r\n## Overview\r\n• This repository consists of all my Machine Learning projects.\u003cbr/\u003e\r\n• Datasets are provided in each of the folders above, and the solution to the problem statements as well.\r\n\r\n## Algorithms used\r\n**Regression:**\u003cbr/\u003e\r\n• _Linear Regression_\u003cbr/\u003e\r\n• _Multiple-Linear Regression_\u003cbr/\u003e\r\n• _Logistic Regression_\u003cbr/\u003e\r\n• _Polynomial Regression_\u003cbr/\u003e\r\n• _Lasso and Ridge Regression (L1 \u0026 L2 Regularization)_\u003cbr/\u003e\r\n• _Elastic-Net Regression_\r\n\r\n**Classification:**\u003cbr/\u003e\r\n• _K-Nearest Neighbours_\u003cbr/\u003e\r\n• _Support Vector Machine_\u003cbr/\u003e\r\n• _Naive Bayes_\u003cbr/\u003e\r\n• _Decision Tree_\u003cbr/\u003e\r\n \r\n**Clustering:**\u003cbr/\u003e\r\n• _K-Means_\u003cbr/\u003e\r\n  \r\n**Ensemble:**\u003cbr/\u003e\r\n• _Random Forest_\u003cbr/\u003e\r\n• _Adaptive Boosting (AdaBoost)_\u003cbr/\u003e\r\n• _Extreme Gradient Boosting (XGBoost)_\u003cbr/\u003e\r\n• _Voting (Hard/Soft)_\u003cbr/\u003e\r\n\r\n**Do ⭐ the repository, if it helped you in anyway.**\r\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fanujvyas%2Fmachine-learning-projects","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fanujvyas%2Fmachine-learning-projects","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fanujvyas%2Fmachine-learning-projects/lists"}