Data Mining (2052FBDBMW)

This is a summary of all practicals of data mining. It consists of 5 practicals with all the instructions and commands you need to add in Rstudio. There is also some extra information about why you do some certain steps.

This is a summary of all the theory handouts of the course data mining. It contains information present on the slides and my own notes. Lessons that are present in this summary are: introduction, data processing, univariate techniques, unsupervised clustering, data projection, linear models and processing omics. There is also a table of contents in the beginning to keep a clear overview during the open book exam.

This is a summary of the given powerpoint slides during the practicals. It contains information of the slides including my own notes.

This is a summary of the commands used in the practical lessons of the course Data-mining. The commands are retrieved from the instruction documents that were given on blackboard. I made an overview of each practical (1-5 and the take-home assignment) in table format. This gives an overview of the used commands with their explanation.

All practicals of the data mining course fully detailed (achieved 10/10 on the practical test)

includes notes of lectures anno 24-25 (includes all chapters given in 2025 (full lecture notes) with a more concise summary of some chapters at the start and some extra lectures of previous year that were skipped this year; mostly indicated) as well as some exam questions and practicals 3+4 2052FBDBMW

This document contains all the answers from the questions in the take-home assignment. 7 questions from the mandatory test were questions from the take-home assignment and the practical 2 notes and 2 questions were surprise questions but similar (with a different dataset). I answered all the questions and used this document, together with the document where I also answered the questions in the practical 2 notes and the R script. I used all three during the exam and got a 9/10 on the test. If you...