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Phase 02

ML Fundamentals

Classical machine learning is still the backbone of most production AI.

Lessons (18)

  1. 01What Is Machine Learning
  2. 02Linear Regression
  3. 03Logistic Regression
  4. 04Decision Trees and Random Forests
  5. 05Support Vector Machines
  6. 06K-Nearest Neighbors and Distances
  7. 07Unsupervised Learning
  8. 08Feature Engineering & Selection
  9. 09Model Evaluation
  10. 10Bias-Variance Tradeoff
  11. 11Ensemble Methods
  12. 12Hyperparameter Tuning
  13. 13ML Pipelines
  14. 14Naive Bayes
  15. 15Time Series Fundamentals
  16. 16Anomaly Detection
  17. 17Handling Imbalanced Data
  18. 18Feature Selection

Learning paths covering this phase