Jeroenverboom
On this page, you find all documents, package deals, and flashcards offered by seller jeroenverboom.
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6 items
Everything you need for the IDT exam!
Detailed lecture notes of all lectures. Assignments (+answers!) also included.
- Summary
- • 92 pages •
Detailed lecture notes of all lectures. Assignments (+answers!) also included.
Everything you need for the Deep Learning Exam!
All lectures including additional explanations where the lectures/slides fall short!
- Book
- Class notes
- • 78 pages •
All lectures including additional explanations where the lectures/slides fall short!
Machine Learning: Everything you need (lectures + python)
A full guide through each notebook in Python combined with clear explainations about all topics discussed during the lectures.
- Package deal
- • 2 items •
- Machine Learning All lectures • Summary
- Machine Learning - PYTHON PART (complete walkthrough) • Summary
A full guide through each notebook in Python combined with clear explainations about all topics discussed during the lectures.
FULL GUIDE - Programming with R
All functions required for the workbooks and assignments clearly explained in one document! The order of the document is sorted per week.
- Summary
- • 39 pages •
All functions required for the workbooks and assignments clearly explained in one document! The order of the document is sorted per week.
Machine Learning - PYTHON PART (complete walkthrough)
Complete guide through all notebooks. Each type of exercise clearly explained.
- Package deal
- Summary
- • 46 pages •
Complete guide through all notebooks. Each type of exercise clearly explained.
Machine Learning All lectures
All lectures (theory part) in one document. I've added many extra sources & links for better understanding of the topics discussed in the lectures. Check my other summaries for a full guide through all the practicals!
- Package deal
- Summary
- • 46 pages •
All lectures (theory part) in one document. I've added many extra sources & links for better understanding of the topics discussed in the lectures. Check my other summaries for a full guide through all the practicals!
Machine Learning All lectures