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Course Outline

Generalised Linear Models in Python

  1. Linear Regression
  2. Limitation of simple linear models and need of regularisation
  3. Ridge and Lasso Regression (L1 & L2 Penalties)
  4. Introduction to Classification with Logistic Regression
  5. Methods of threshold determination and performance measures for classification  score models
  6. Case Studies

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