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# 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