🚀 ModelX-ML30 Bootcamp

Welcome to the ModelX-ML30 Bootcamp, a comprehensive 30-week journey through the world of Machine Learning, AI, and real-world systems design.
This bootcamp is designed for aspiring ML engineers, data scientists, and builders who want to master the foundations and scale toward production-grade systems. Youtube videos : www.youtube.com/@DebjyotiPaul-z2s

---

📚 What You’ll Learn

Over 30 weeks, you'll cover topics ranging from core ML theory to cutting-edge deep learning, recommendation systems, and generative models.
Each week includes conceptual lectures, Colab-based assignments, and industry-aligned projects.

---

🧠 Weekly Breakdown

Week	Topic	Highlights
1	Classical Supervised ML Theory	MLE, MAP, Linear & Logistic Regression
2	Recommendation Systems - Part 1	Popularity-based, User-User & Item-Item CF
3	Recommendation Systems - Part 2	SVD, Latent Representations, Cold Start
...	...	...
30	Capstone Project Showcase	Build, explain, and deploy a full-stack ML project

🔗 All weekly content links below will be updated as we progress.

---

📁 Repository Structure

ModelX-ML30-Bootcamp/
├── Week1-Classical-ML/
│   ├── lecture_notes.md
│   ├── assignment.ipynb
│   └── resources/
├── Week2-Recommender-Systems-Part1/
│   ├── Week2-Part1-Readme.md
│   └── notebook_colab.ipynb
├── ...
└── README.md