K-nearest Neighbors from scratch
Implementing K Nearest Neighbours Algorithm on Wisconsin Breast Cancer Dataset(WBCD) without using built in function for KNN algorithm. The data is split into 3 : train, validation and test data. The performance metrics are calculated for different K values.
Interactive CLI-based KNN implementation from scratch with data processing, statistics, visualization, feature normalization, and accuracy computation functionalities.
This repo have an example of amazon baby product reviews classification using knn from scratch.
Image Classification
Collection of all the projects I have completed during my master studies. It includes the source code, written report and presentation for each project
A simple KNN algorithm in Javascript that can be used to classify data
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