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https://github.com/pritampanda15/machine-learning

Machine learning scripts for bioinformatics projects
https://github.com/pritampanda15/machine-learning

bioinformatics machine-learning machinelearning-python

Last synced: 9 months ago
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Machine learning scripts for bioinformatics projects

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README

          

The `Machine_Learning` repository, is a collection of resources and tools focused on various aspects of machine learning. It includes multiple submodules and scripts aimed at facilitating the understanding and application of machine learning algorithms and techniques.

## Repository Structure

The repository comprises several submodules, each focusing on different areas within machine learning:

- **Diabetes-detectionML-main**: Contains resources and scripts for building machine learning models to detect diabetes, including data preprocessing, model training, and evaluation.

- **TDC-main**: Offers tools and scripts related to the Therapeutics Data Commons (TDC), a platform providing datasets and benchmarks for machine learning in drug discovery.

- **lazypredict-dev**: Provides a tool that helps in building a baseline model without much effort, allowing users to quickly compare the performance of various machine learning models on a given dataset.

- **project-based-learning-master**: Includes a collection of project-based learning resources, offering practical examples and projects to enhance understanding of machine learning concepts.

## Getting Started

To explore the contents of this repository:

1. **Clone the Repository**:
```bash
git clone https://github.com/pritampanda15/Machine_Learning.git
```

2. **Navigate to a Submodule**:
```bash
cd Machine_Learning/Diabetes-detectionML-main
```

3. **Follow Instructions**: Each submodule may contain its own README or documentation detailing installation steps, dependencies, and usage instructions.

## Contributing

Contributions to enhance the repository are welcome. To contribute:

1. **Fork the Repository**: Click on the 'Fork' button at the top right corner of the repository page.

2. **Create a New Branch**: For your feature or bug fix.
```bash
git checkout -b feature-name
```

3. **Make Changes**: Implement your feature or fix.

4. **Commit Changes**:
```bash
git commit -m "Description of changes"
```

5. **Push to Your Fork**:
```bash
git push origin feature-name
```

6. **Submit a Pull Request**: Navigate to your forked repository on GitHub and click on 'New Pull Request'.

## License

The repository does not specify a license. It's advisable to contact the repository owner for clarification before using the code in commercial or open-source projects.

For more details, visit the [Machine_Learning repository](https://github.com/pritampanda15/Machine_Learning).