Data Mining & Machine Learning 

Second & Third Year Engineering (52 Hours)

• Introduction to data Mining and Machine Learning  (slides, TP)

• Supervised Methods 

  • K-nearest neighbours

  • Naive bayes classifier (slides, TP)

  •  Decisions trees and Random Forest (slides,TP)

  • Neural Networks (slides, TP)

  • Logistic Regression (slides,TP)

  • Support Vector Machines (slides, TP)