Welcome to my Machine Learning Repository This repo is a collection of everything I’ve learned and implemented while exploring Machine Learning (ML) and Deep Learning (DL).

I’ve structured the repo into three major parts:

1. Fundamentals of ML – Core algorithms & foundations.

2. Deep Learning with TensorFlow – Neural networks & advanced DL with TensorFlow/Keras.

3. Deep Learning with PyTorch – PyTorch implementations & projects.

This learning journey is inspired and guided by:

Hands-On Machine Learning series by Aurélien Géron and Official documentation of TensorFlow, PyTorch, and Scikit-learn