In this repository, I play around with the k- nearest neighbour classifier as a learning exercise for my machine learning class.
Questions to be answered:
- Which distance metric and why that?
- Difference between the evaluation metrics - Recall, precision, F1 and accuracy
- How to form a vector representation from a categorical data?
- Explore knn for both regression and classification.
We have two notebooks exploring both regression and classification datasets.