Luis Nonato

Introduction to Machine Learning with Python

This introductory course will cover fundamental machine learning concepts and techniques. Specifically, the course will approach widely used clustering methods such as K-means, Hierarchical clustering, and DBScan, as well as classification and regression techniques including Support Vector Machine, Decision Trees, and Random Forests. Practical examples involving the Sklearn Python package will be provided.