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Machine Learning

Teach computers to learn from data, regression, classification, clustering and model evaluation.

20 lessons about 7 hours Medium
Learn it by writing it.

Every lesson runs real code in your browser, checked the moment you submit. No installing anything, no setup, no waiting.

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What this course covers

  1. What is Machine Learning?
  2. What is Data?
  3. Features and Labels
  4. The 3 Flavors of Machine Learning
  5. What is a Model?
  6. How Models Learn: Error and Improving
  7. Classification: Sorting Into Buckets
  8. Feature Scaling: Making Features Play Fair
  9. k-Nearest Neighbors
  10. Predicting Numbers: Linear Regression
  11. Logistic Regression: Predicting Yes or No
  12. Gradient Descent: How Models Learn
  13. Decision Trees: Learning by Asking Questions
  14. Train & Test: How Models Learn Fairly
  15. Measuring Success: Accuracy, Precision, Recall
  16. Overfitting: Memorizing vs Understanding
  17. Finding Groups: Clustering and k-Means
  18. Recommendation Systems
  19. Reinforcement Learning: Learn by Trying
  20. Machine Learning: Putting It All Together

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