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Course Outline

Support Vector Machines (SVM) and KNN in Python

  1. Introduction to the idea of observation-based learning
  2. Distances and Similarities
  3. K Nearest Neighbours (KNN) for classification
  4. Introduction to SVM for classification
  5. Regression with KNN and SVM
  6. Case study
  7. Home exercises

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