“Machine Learning is not magic, it’s math + logic + practice.”
This repository documents my lecture-wise learning journey from
🎯 CampusX – 100 Days of Machine Learning Playlist
This repo is a complete, structured, lecture-wise collection of notes based on my learning from the CampusX ML 100 Days playlist.
💡 The goal is simple:
- Build strong ML fundamentals
- Understand concepts from scratch
- Maintain clean & readable notes
- Create a public learning log for revision & interviews
✔ Lecture-wise ML notes
✔ Core ML concepts explained simply
✔ Mathematical intuition behind algorithms
✔ Practical insights & examples
✔ Interview-focused explanations
✔ Beginner → Intermediate ML progression