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# Course Overview
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The course covers the fundamentals of machine learning, including supervised and unsupervised learning, model evaluation, and deployment.
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## Key Topics
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- Linear Regression
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- Decision Trees
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- Clustering
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- Neural Networks
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## Schedule
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- Week 1: Introduction
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- Week 2: Linear Models
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- Week 3: Tree-Based Models
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- Week 4: Clustering
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- Week 5: Neural Networks
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