Machine Learning Foundations

About this course

A grounded introduction to machine learning that skips the hype. You'll train regression and classification models, learn why they overfit, and validate them properly, then take a model past the notebook stage.

What you'll learn

• Tell supervised, unsupervised and reinforcement learning apart
• Train and evaluate regression and classification models
• Engineer features that actually improve model performance
• Avoid overfitting with proper validation
• Ship a trained model beyond a notebook

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