Introduction to machine learning

IMC-4302C, ESIEE, 2020. Lectures by Adriana Gogonel.

Outline

  1. Introduction to Python : SlidesSome examples

  2. Linear regressions : Slides

    1. Gradient descent : Exercises

    2. Least squared method : Notebook

  3. Linear classification : Slides

    1. Logistic regression : ExercisesNotebook

    2. Linear discriminant analysis : Exercises

  4. Model selection : SlidesNotebook

  5. Support vector machines : SlidesNotebook

Download some useful functions for the labs.

Final project instructions.