Module 3: ML Models

Introduction to Different Types of Machine Learning Models

Slides

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Outline

• Overview of common ML methods:
• Linear models (e.g., linear regression, logistic regression)
• KNNs
• Ensemble methods (e.g., random forests, boosting)
• Unsupervised learning: K-means clustering
• When to use which model: strengths and trade-offs
• Simple comparison or decision guide