aravi11 / dd2421_kth

Lab assignments submitted for DD2421 Machine Learning Course @ KTH

Royal Institute of Technology KTH - Stockholm

Machine Learning (DD2421/FDD3431 VT23)

Course Link - https://www.kth.se/student/kurser/kurs/DD2421?l=en

The purpose of the course is to have a basic knowledge of the most important algorithms and theory that form the basis for machine learning and computational intelligence as well as a practical knowledge of machine learning algorithms and methods.

This repository contains code written during the spring semester 2023 by Aravind Ashok Nair.

Laboratories

• LAB1 - Classification Trees
• LAB2 - Support Vector Machines
• LAB3 - Bayesian Learning and Boosting

Programming Challenge

• XGBoost Classifier - Classification Problem (3 classes)