Machine Learning with Python Course Notebooks

This repository contains Jupyter Notebooks for students enrolled in the Machine Learning with Python course. Each notebook covers various topics in machine learning, providing code examples, explanations, and exercises that reinforce key concepts.

Content Overview

The notebooks are organized to align with the course curriculum and include:

1. Regression

2. Classification

3. Clustering

4. Recommender System

Acknowledgments

The content and exercises provided in these notebooks are based on the Machine Learning with Python course available on Coursera.