Data Mining (880662-M-6)

Looking to ace your exams or finally understand data mining and machine learning? This summary is your ultimate guide to mastering the subject. It takes you step by step through clustering methods like k-means and fuzzy c-means, helping you see how data can be grouped in meaningful ways. You’ll learn how to handle messy datasets by preprocessing, scaling, and encoding features, making them ready for analysis. Dimensionality reduction, often seen as a complex topic, is broken down into easy-...

Summary/Lecture notes for the course Data Mining for Business and Governance. Includes all lectures.

Summary for the Data Mining course of the Master Data Science and Entrepreneurship.

Cheatsheet for Data Mining exam. (You can use 1 double sided A4)

Extended summary (uitgebreide samenvatting) Data Mining Data Science Regression Classification Clustering Dimensionality Reduction

Short summary (samenvatting) Data Mining Data Science Regression Classification Clustering Dimensionality Reduction