{"id":20259637,"url":"https://github.com/coding-enthusiast9857/ai_ml_projects","last_synced_at":"2026-05-10T01:16:26.238Z","repository":{"id":194023453,"uuid":"689943801","full_name":"CODING-Enthusiast9857/AI_ML_Projects","owner":"CODING-Enthusiast9857","description":"This repository contains AI ML projects. It demonstrates examples of applying machine learning techniques to solve real-world problems. Key objectives of this projects are Accurate Predictions, User-Friendly Interface, Data Exploration and Visualization, Model Selection, Feature Engineering, Model Evaluation \u0026 Deployment.","archived":false,"fork":false,"pushed_at":"2024-03-26T11:20:13.000Z","size":10325,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-14T04:12:32.217Z","etag":null,"topics":["ai","aids","aiml","artificial-intelligence","cv","data-science","dsml","housepriceprediction","machine-learning","machine-learning-algo","machine-learning-algorithms","machinelearning","ml","nlp","predictions"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/CODING-Enthusiast9857.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"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}},"created_at":"2023-09-11T08:25:21.000Z","updated_at":"2024-04-16T00:02:18.000Z","dependencies_parsed_at":"2023-09-11T09:43:17.643Z","dependency_job_id":"5b40cee8-3e7a-4f90-bcf8-b15462d1c9d6","html_url":"https://github.com/CODING-Enthusiast9857/AI_ML_Projects","commit_stats":null,"previous_names":["coding-enthusiast9857/machinelearningprojects","coding-enthusiast9857/ai_ml_projects"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CODING-Enthusiast9857%2FAI_ML_Projects","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CODING-Enthusiast9857%2FAI_ML_Projects/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CODING-Enthusiast9857%2FAI_ML_Projects/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CODING-Enthusiast9857%2FAI_ML_Projects/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/CODING-Enthusiast9857","download_url":"https://codeload.github.com/CODING-Enthusiast9857/AI_ML_Projects/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":241720114,"owners_count":20008916,"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":["ai","aids","aiml","artificial-intelligence","cv","data-science","dsml","housepriceprediction","machine-learning","machine-learning-algo","machine-learning-algorithms","machinelearning","ml","nlp","predictions"],"created_at":"2024-11-14T11:15:45.322Z","updated_at":"2025-12-03T01:02:10.871Z","avatar_url":"https://github.com/CODING-Enthusiast9857.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Machine Learning Projects\n\n![Python](https://img.shields.io/badge/Python-3.8%2B-blue)\n[![NumPy](https://img.shields.io/badge/NumPy-1.21.2-red)](https://numpy.org/)\n[![Pandas](https://img.shields.io/badge/Pandas-1.3.3-orange)](https://pandas.pydata.org/)\n[![Matplotlib](https://img.shields.io/badge/Matplotlib-3.4.3-blue)](https://matplotlib.org/)\n[![Seaborn](https://img.shields.io/badge/Seaborn-0.11.2-yellow)](https://seaborn.pydata.org/)\n![Scikit-Learn](https://img.shields.io/badge/Scikit--Learn-0.24.2-green)\n[![GitHub license](https://img.shields.io/github/license/CODING-Enthusiast9857/MachineLearningProjects)](https://github.com/CODING-Enthusiast9857/MachineLearningProjects/blob/main/LICENSE)\n[![GitHub stars](https://img.shields.io/github/stars/CODING-Enthusiast9857/MachineLearningProjects)](https://github.com/CODING-Enthusiast9857/MachineLearningProjects/stargazers)\n[![GitHub issues](https://img.shields.io/github/issues/CODING-Enthusiast9857/MachineLearningProjects)](https://github.com/CODING-Enthusiast9857/MachineLearningProjects/issues)\n\nWelcome to the \"Machine Learning Projects\" repository! Here, you will find a collection of machine learning projects that I have worked on. Each project explores different aspects of machine learning, including data analysis, model development, and evaluation.\n\n## Technologies and Platforms\n\nThese projects are primarily developed using the following technologies and platforms:\n\n- **Python**: The core programming language for all machine learning code.\n- **Jupyter Notebook**: Used for creating interactive and well-documented project notebooks.\n- **Scikit-Learn**: A powerful machine learning library for model development and evaluation.\n- **Pandas**: Used for data manipulation and analysis.\n- **NumPy**: Essential for numerical computations.\n- **Matplotlib** and **Seaborn**: For data visualization.\n- **GitHub**: The platform where you can find the project repositories and source code.\n- **Kaggle**: To download datasets.\n\n## Projects\n\nYou will find list of machine learning projects available in this repository. Each project directory contains a detailed README with project-specific information.\n\n## Getting Started\n\nTo get started with any project, you can follow the instructions in the respective project's README. Typically, you will need to:\n\n1. Clone the repository to your local machine.\n2. Install any required dependencies (if not already done).\n3. Open the project in a Jupyter Notebook or any IDE of your choice.\n4. Run the code and explore the project.\n\n## Contributions\n\nIf you'd like to contribute to any of these projects or have suggestions for improvements, feel free to:\n\n- Fork the repository.\n- Create a new branch.\n- Make your modifications.\n- Submit a pull request.\n\nYour contributions and ideas are always welcome!\n\n## License\n\nThis project is licensed under the [MIT License](LICENSE) - see the LICENSE file for details.\n\nPlease don't hesitate to reach out if you have any questions or need further information. Enjoy exploring the world of machine learning!\n\n## Created by\nCreated with \u0026#129293; by \u003ca href=\"https://github.com/CODING-Enthusiast9857\" target=\"_blank\"\u003eMadhavi Sonawane.\u003c/a\u003e\n\n\u003cb\u003eFollow \u003ca href=\"https://github.com/CODING-Enthusiast9857\" target=\"_blank\"\u003eMadhavi Sonawane\u003c/a\u003e for more such contents. \n\u003cbr\u003e 🇹​​​​​🇭​​​​​🇦​​​​​🇳​​​​​🇰​​​​​ 🇾​​​​​🇴​​​​​🇺​​​​​ for visiting...!!\u003c/b\u003e \n\u003cbr\u003e\n\n### Happy CODING...!! 💻\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcoding-enthusiast9857%2Fai_ml_projects","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcoding-enthusiast9857%2Fai_ml_projects","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcoding-enthusiast9857%2Fai_ml_projects/lists"}