{"id":26137863,"url":"https://github.com/rampal-punia/ml-for-beginners","last_synced_at":"2026-02-08T09:35:34.483Z","repository":{"id":245912103,"uuid":"629330228","full_name":"rampal-punia/ml-for-beginners","owner":"rampal-punia","description":"A comprehensive introduction to Machine Learning (ML) for beginners covering various ML concepts, terminologies, and projects that will help you build a strong foundation in ML.","archived":false,"fork":false,"pushed_at":"2023-04-18T12:46:37.000Z","size":176,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-03-11T01:08:40.802Z","etag":null,"topics":["machine-image","machine-learning","machine-learning-algorithms","machine-vision","machinelearning-python","ml","ml-project"],"latest_commit_sha":null,"homepage":"","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/rampal-punia.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":"roadmap_to_learn_ml.md","authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2023-04-18T05:17:55.000Z","updated_at":"2023-04-18T09:52:13.000Z","dependencies_parsed_at":"2024-06-24T20:06:40.612Z","dependency_job_id":null,"html_url":"https://github.com/rampal-punia/ml-for-beginners","commit_stats":null,"previous_names":["rampal-punia/ml-for-beginners"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/rampal-punia/ml-for-beginners","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rampal-punia%2Fml-for-beginners","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rampal-punia%2Fml-for-beginners/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rampal-punia%2Fml-for-beginners/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rampal-punia%2Fml-for-beginners/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/rampal-punia","download_url":"https://codeload.github.com/rampal-punia/ml-for-beginners/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rampal-punia%2Fml-for-beginners/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":270482333,"owners_count":24591340,"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","status":"online","status_checked_at":"2025-08-14T02:00:10.309Z","response_time":75,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"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":["machine-image","machine-learning","machine-learning-algorithms","machine-vision","machinelearning-python","ml","ml-project"],"created_at":"2025-03-11T01:08:41.577Z","updated_at":"2026-02-08T09:35:29.464Z","avatar_url":"https://github.com/rampal-punia.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# ML For Beginners\n\nThis repository is intended for beginners who want to learn about Machine Learning. It contains a collection of ML terminologies and basic ML projects that cover a wide range of topics.\n\n## Table of Contents\n\n- [Introduction](https://github.com/CodingMantras/ml-for-beginners#introduction)\n- [Projects](https://github.com/CodingMantras/ml-for-beginners#projects)\n- [Terminologies](https://github.com/CodingMantras/ml-for-beginners#terminologies)\n- [Contributing](https://github.com/CodingMantras/ml-for-beginners#contributing)\n\n## Introduction\n\nMachine Learning is a rapidly growing field that has many practical applications in various industries. This repository is designed to introduce beginners to the fundamental concepts of Machine Learning.\n\n## Projects\n\nThe following projects are included in this repository:\n\n- Titanic data visualization\n- MNIST dataset\n- Housing property rate\nEach project has a detailed explanation of the dataset and the code implementation.\n\n## Terminologies\n\nThe following terminologies are included in this repository:\n\n- [Accuracy](https://github.com/CodingMantras/ml-for-beginners/blob/master/precision-recall-accuracy-f1score/accuracy_of_ml_model.md)\n- [Precision](https://github.com/CodingMantras/ml-for-beginners/blob/master/precision-recall-accuracy-f1score/precision_of_ml_model.md)\n- [Recall](https://github.com/CodingMantras/ml-for-beginners/blob/master/precision-recall-accuracy-f1score/recall_of_an_ml_model.md)\n- [F1 Score](https://github.com/CodingMantras/ml-for-beginners/blob/master/precision-recall-accuracy-f1score/f1_score_of_ml_model.md)\n- [True Positive \u0026 True Negative](https://github.com/CodingMantras/ml-for-beginners/blob/master/true_positive_true_negative.md)\n- [Confusion Matrix]()\n- [Overfitting]()\n- [Underfitting]()\n- [Gradient Descent]()\nEach terminology has a detailed explanation and code snippets for implementation.\n\n## Contributing\n\nContributions are welcome! If you have any ML projects or terminologies that you would like to share, feel free to contribute to this repository by submitting a pull request.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frampal-punia%2Fml-for-beginners","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frampal-punia%2Fml-for-beginners","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frampal-punia%2Fml-for-beginners/lists"}