{"id":18966971,"url":"https://github.com/subhangisati/machine-learning","last_synced_at":"2026-04-04T04:30:16.161Z","repository":{"id":220473422,"uuid":"751747648","full_name":"SubhangiSati/Machine-Learning","owner":"SubhangiSati","description":"This consists of various machine learning algorithms like Linear regression, logistic regression, SVM, Decision tree,  kNN etc. This will provide you basic knowledge of Machine learning algorithms using python. 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Each question comes with a problem statement, and you are encouraged to solve and implement the solutions using popular machine learning libraries such as TensorFlow, scikit-learn, or PyTorch.\n\n## Prerequisites\n\n- Python 3.x\n- Basic knowledge of machine learning concepts\n- Familiarity with machine learning libraries (e.g., TensorFlow, scikit-learn, PyTorch)\n\n## Usage\n\n1. Clone the repository to your local machine:\n\n```bash\ngit clone https://github.com/your-username/basic-ml-code-practice.git\n```\n\n2. Navigate to the project directory:\n\n```bash\ncd basic-ml-code-practice\n```\n\n3. Open the questions folder and choose a question to work on.\n\n4. Read the problem statement provided in each question's README file.\n\n5. Implement your solution in a programming file (e.g., `solution.py`).\n\n6. Test your solution with sample data provided or create your own test cases.\n\n7. Optionally, you can compare your solution with the provided sample solutions.\n\n## Questions Structure\n\nEach question follows a common structure:\n\n- **Problem Statement:** A clear description of the machine learning problem to be solved.\n\n- **Instructions:** Guidelines on how to approach the problem and specific requirements for the solution.\n\n- **Data:** If applicable, sample datasets are provided to test and validate your solution.\n\n- **Solution:** Sample solutions are provided for comparison, but you are encouraged to implement your own solution first.\n\n## Contributing\n\nFeel free to contribute additional questions or improvements to existing questions. Follow the contribution guidelines outlined in the [CONTRIBUTING.md](CONTRIBUTING.md) file.\n\n## License\n\nThis code is licensed under the [MIT License](LICENSE).\n\nEnjoy practicing and enhancing your machine learning skills! If you find this repository helpful, consider sharing it with others.","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsubhangisati%2Fmachine-learning","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsubhangisati%2Fmachine-learning","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsubhangisati%2Fmachine-learning/lists"}