GenAILearn module 2

Learn Classical ML

Understand how machines find patterns. From simple lines to powerful forests of decisions.

This free visual module includes 17 lessons with interactive 3D explanations, plain-English theory, and quizzes.

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Lessons in Classical ML

  1. What is Machine Learning? 8 min - Beginner
  2. Data, Features & Labels 8 min - Beginner
  3. Data Preprocessing 10 min - Beginner
  4. Train / Test Split 8 min - Beginner
  5. Linear Regression 12 min - Beginner
  6. Gradient Descent 15 min - Intermediate
  7. Logistic Regression 12 min - Intermediate
  8. K-Nearest Neighbors 10 min - Beginner
  9. Support Vector Machine 15 min - Intermediate
  10. Decision Trees 12 min - Intermediate
  11. Random Forests 12 min - Intermediate
  12. Gradient Boosting & XGBoost 15 min - Advanced
  13. K-Means Clustering 12 min - Intermediate
  14. PCA — Dimensionality Reduction 15 min - Advanced
  15. Model Evaluation Metrics 12 min - Intermediate
  16. Bias vs Variance 10 min - Intermediate
  17. Regularization (L1 & L2) 12 min - Advanced