Advanced Data Analysis (2052FBDBMW)

- Introduction - Processing principles - Data mining - Principal component analysis - Supervised learning - Regression - Machine learning methods

This document contains the solutions to the take-home assignment of Advanced Data Analysis, solved in 2021/2022. Result: 8/10

This document contains the full summary of all theoretical lessons of the course Advanced Data Analysis. For the exam also the practical lessons have to be known: these are uploaded separately on my profile. 1st Ma Biomedical Sciences

This document includes all solutions of practical 3 data analysis, including the used code, explanations and screenshots.

A detailed description of each step of practical 2, including screenshots and explanations of the steps taken in R. This document includes everything that is seen in class, and all the exercises that are needed to be made for practical 2 of Advanced Data Analysis of the first master of Biomedical Sciences. Only includes practical 2. Does not include the take home assignment.

A detailed description of each step of practical 1, including screenshots and explanations of the steps taken in R. This document includes everything that is seen in class, and all the exercises that are needed to be made for practical 1 of Advanced Data Analysis of the first master of Biomedical Sciences.

An extensive English summary of the course Advanced Data Analysis followed in academic year 2019-2020. Obtained result with this summary was 17/20. The explanations during the class were attentively noted and processed with the slides and course material to a complete summary. This summary is a perfect preparation and guiding document for the open-book exam. The summary consists of following chapters/lessons: Introduction to data and data mining Processing principles Unsupervised clustering Data...