This repository is a collection of all my work and learnings as I go through my Machine Learning journey β building, understanding, and experimenting with different ML algorithms and concepts.
My goal is to:
- Build a strong understanding of core ML concepts
- Implement algorithms from scratch and using libraries like
scikit-learn - Work on hands-on projects after completing each topic
- Fundamental algorithms (like Linear & Logistic Regression, Decision Trees, etc.)
- Notes and code experiments from courses
- Small ML projects and visualizations
- Anything interesting I explore while learning
- β Linear Regression (Multiple Feature), feature engineering and normal equation β implemented and understood
- π Working on deeper concepts and multi-feature regression
- π Planning to explore more ML algorithms step by step
Arsh Chauhan
B.Tech Electrical Engineering, IIT Kanpur
Exploring Machine Learning, Data, and Mathematics.
β This repo is my learning space β documenting growth, mistakes, and progress along the way.