- Lecture slides
- Topic 1: FDS-S1-05-01:Intro to Supervised Learning: 1-Nearest-Neighbors
- Topic 2: FDS-S1-05-02:Intro to Supervised Learning: K-Nearest-Neighbors
- Video from academic year 22-23: 1-NearestNeighbors-Evaluation
- Video academic year 22-23: K-NearestNeighbors Algorithm
- Comprehension Questions: see Learn Ultra. There are also solutions: fds-s1-09-1-comprehension-question-solutions.pdf
- Workshop - designed to help you understand how Coursework 1 will be marked
- Lab
License
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