Description

In this course, you will :

• Introduction to machine learning and mathematical prerequisites
• Regression types (linear, polynomial, multi variable regression)
• Classification methods: Logistic regression, Naïve Bayes and K-nearest neighbours
• Clustering methods: hierarchical and k-means clustering