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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!

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