Metadata-Version: 2.4
Name: model_kaggle_vaveyko
Version: 0.1.0
Summary: Add your description here
Author: vaveyko
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.12
Description-Content-Type: text/markdown
Requires-Dist: numpy>=2.4.3
Requires-Dist: pandas>=3.0.1
Requires-Dist: rapidfuzz>=3.14.3
Requires-Dist: scikit-learn>=1.8.0

# ML Internship Project Template

Welcome! This repository serves as a starting point for your project. The structure here is minimal, designed to give you a foundation to build upon. Feel free to modify, expand, and customize it as needed.

## Repository Structure

- `Makefile`: Simplifies common commands. Update it as you add new processes to your workflow.
- `.gitignore` and `.dockerignore`: Prevents unnecessary files from being pushed to version control.
- `.pre-commit-config.yaml`: Configures `pre-commit` hooks to enforce code style and linting checks automatically before each commit.
- `.flake8`: Enforces Python code style.
- `requirements.txt`: Lists essential Python libraries. Add to it as your project grows.
- `setup.py`: Basic setup script if you turn your project into a package.
- `README.md`: This file. Update it as your project evolves!
- `notebooks/`: Store your Jupyter notebooks here.
- `scripts/`: Place your project scripts here (e.g., for data processing or model training).
- `data/`: A global folder where your data can be stored in different formats (e.g. raw and processed)

## Further Development
This template provides a basic structure. You should develop it further based on the specific requirements of your project. Here are some ideas:
- Add configurations or hyperparameters in a `config.yaml`.
- Write tests for your code in a `tests/` folder.
- Document your work here in the README as your project progresses.

Good luck with your internship!
