# Course Overview

The course covers the fundamentals of machine learning, including supervised and unsupervised learning, model evaluation, and deployment.

## Key Topics

- Linear Regression
- Decision Trees
- Clustering
- Neural Networks

## Schedule

- Week 1: Introduction
- Week 2: Linear Models
- Week 3: Tree-Based Models
- Week 4: Clustering
- Week 5: Neural Networks