Course: CS-EJ3211 - Machine Learning with Python, 09.09.2019-13.12.2019

In this course, we will introduce some of the most widely used ML methods such as regression, classification, model selection, clustering, and dimensionality reduction. We will discuss these methods in a hands-on fashion using coding assignments which include implementations of ML methods using the programming language Python. The course is organized in six rounds: "Introduction", "Regression", "Classification", "Model Validation and Selection", "Clustering" and "Dimensionality Reduction". Each round covers a certain part of the course book and includes a Python notebook with the coding assignment. The course is intended for students of Network university FITech.