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:
- Collect Data
- Preprocess Data
- Split into Train/Test
- Choose Model
- Train Model
- Evaluate Model
- Deploy Model
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.
All lessons and assignments are available as unlisted videos on the ToodMind YouTube Channel.
Follow them in order for the full learning experience. 🚀
| # | Title | Watch |
|---|---|---|
| 1 | Introduction to Machine Learning | |
| 2 | Lesson Two — Data Foundations for Machine Learning | |
| 3 | Assignment Two — Data Foundations for Machine Learning | |
| 4 | Assignment Two Revision — Data Foundations for Machine Learning | |
| 5 | Lesson Three — Data Processing In Action (Zoom Lesson) | |
| 6 | Assignment Three with Revision — Data Processing In Action | |
| 7 | Lesson Four — Regression (Zoom Lesson) | |
| 8 | Assignment Four — Regression | |
| 9 | Lesson Five with Assignment — Regression In Action | |
| 10 | Lesson Six with Assignment — Classification | |
| 11 | Lesson Seven — Classification In Action | |
| 12 | Assignment Seven — Classification In Action | |
| 13 | Lesson Eight — Clustering | |
| 14 | Lesson Nine — Clustering In Action | |
| 15 | Lesson Ten — Deployment |
📘 Tip:
You can clone the repo, open Jupyter/VS Code, and follow along while watching each lesson for hands-on learning.
This bootcamp is proudly hosted by:
Together, our goal is to empower the next generation of data scientists.
This bootcamp is fully sponsored by:
⭐ If you find this useful, don’t forget to star the repo!