Welcome to my Machine Learning learning repository! This is where I document my hands-on journey through Intro to Machine Learning with Python by Andreas C. Müller and Sarah Guido.
- Hands-on coding exercises from the book.
- Daily summaries of my learnings and reflections.
- Aiming to make this a transparent record of growth.
-
notebooks/:
This folder contains my hands-on Jupyter notebooks for each chapter or concept I study. These include code, visualizations, and exercises from the book. -
notes/:
Here I maintain summary notes for each notebook. These capture key takeaways, reflections, and concepts I’ve learned. Each note is cross-linked to its corresponding notebook. -
projects/ (coming soon):
I’ll be adding mini-projects that apply my machine learning skills to real-world datasets beyond the book.