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📊 DS-ML Bootcamp

Welcome to the Data Science & Machine Learning Bootcamp repository! 🚀

This repo contains all the lessons, code examples, and resources used during our one-month intensive bootcamp.
The program is designed to take participants from zero to hands-on projects, covering the full ML workflow:

  1. Collect Data
  2. Preprocess Data
  3. Split into Train/Test
  4. Choose Model
  5. Train Model
  6. Evaluate Model
  7. Deploy Model

🎯 Goal

Our mission is simple:
Move from unreal to real, from unimaginable to imaginable — by practicing the entire DS/ML journey, step by step, in just one month.

📘 Tip:
You can clone the repo, open Jupyter/VS Code, and follow along while watching each lesson for hands-on learning.

🙌 Contributors

This bootcamp is proudly hosted by:

Together, our goal is to empower the next generation of data scientists.

🤝 Sponsored By

This bootcamp is fully sponsored by:

⭐ If you find this useful, don’t forget to star the repo!