Module 2: Machine Learning for Regression

This module covers the following topics:

Module content on GitHub: https://github.com/DataTalksClub/machine-learning-zoomcamp/tree/master/02-regression

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Table of contents

• 1. Car Price Prediction
• 2. Data Preparation
• 3. Exploratory Data Analysis
• 4. Validation Framework
• 5. Linear Regression
• 6. Linear Regression in Vector & Matrix Form
• 7. Training the Model (Normal Equation)
• 8. Baseline Model
• 9. Evaluating a Regression Model with RMSE
• 10. Validating an ML Model
• 11. Feature Engineering
• 12. Categorical Variables
• 13. Regularization
• 14. Tuning Model
• 15. Using Model
• 16. Summary