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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