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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