https://github.com/pungrumpy/machine-learning-python
A machine learning project that uses linear regression to predict a target variable
https://github.com/pungrumpy/machine-learning-python
machine-learning python
Last synced: 7 months ago
JSON representation
A machine learning project that uses linear regression to predict a target variable
- Host: GitHub
- URL: https://github.com/pungrumpy/machine-learning-python
- Owner: PunGrumpy
- License: mit
- Created: 2023-05-14T14:10:42.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2023-05-25T13:34:50.000Z (over 2 years ago)
- Last Synced: 2025-03-22T06:13:19.631Z (11 months ago)
- Topics: machine-learning, python
- Language: Python
- Homepage:
- Size: 33.2 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Machine Learning Project
This repository contains a machine learning project that uses linear regression to predict a target variable. The project is organized into separate modules for training the model, validating the data, and validating the model's performance. Automated workflows for these tasks are set up using GitHub Actions.
## Project Structure
```bash
machine-learning-python/
├── .github
│ └── workflows
│ ├── main.yml
├── requirements.txt
├── src
│ ├── data
│ │ ├── create_dataset.py
│ │ ├── prepare_data.py
│ │ └── validate_data.py
│ ├── model
│ │ ├── model.py
│ │ └── validate_model.py
│ └── utils
│ └── load_and_save.py
└── tests
└── test_model.py
```
## Getting Started
1. Clone this repository.
2. Install the required Python packages: `pip install -r requirements.txt`.
3. Validate the data: `python src/validate_data.py`.
4. Train the model: `python src/model.py`.
5. Validate the model: `python src/validate_model.py`.
6. Run the test suite: `pytest tests/`.
## Automated Workflows
This project uses GitHub Actions to automate several tasks:
- When you push to the repository or open a pull request, GitHub Actions will automatically validate the data, train the model, and validate the model's performance.
- If any of these tasks fail, GitHub Actions will open an issue in the repository.
Please see the [GitHub Actions documentation](https://docs.github.com/en/actions) for more information on how this works.
## Contributing
Please open an issue to discuss proposed changes before submitting a pull request.
## License
This project is licensed under the terms of the MIT license.