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Intermediate

Supervised Learning

Learn from labeled examples: the algorithms behind prediction and classification.

The largest branch of machine learning, models that learn a mapping from inputs to known outputs, from a first straight line to the algorithms behind spam filters and medical diagnosis.

12 of 12 lessons available

LEARN THE LINE BETWEEN THEMclass Aclass BEVERY POINT CAME LABELED
Every example arrives wearing its answer, so the job is finding the boundary between them.

Lessons in this path

  1. Supervised Learning
  2. Regression: Predicting a Number
  3. Linear Regression
  4. Regularization: Ridge, Lasso and Preventing Overfitting
  5. Classification: Predicting a Category
  6. Logistic Regression
  7. Naive Bayes Classifiers
  8. K-Nearest Neighbors (KNN)
  9. Decision Trees
  10. Random Forests
  11. Gradient Boosting: XGBoost and Friends
  12. Support Vector Machines (SVM)
Supervised Learning | OnePocketML