The proposed framework makes use of K-Nearest Neighbour (KNN) imputed features along with a Tri-ensemble voting classifier model. Results: By incorporating the KNN imputer, the presented model ...

Task 6: K-Nearest Neighbors Classification – Breast Cancer Dataset Hi!! This repository contains my implementation of classification using the K-Nearest Neighbors (KNN) algorithm, applied to the ...

The KNN (K-Nearest Neighbor) machine learning model is proposed here with an enhanced feature selection, a non-parametric technique that employs similarity to categorize or determine how each unique ...

In the course of MAT204: Linear Algebra, I along with my group partners explored the issue of low complex 2D Image Compression using the Haar Wavelets as the basis function, and also calculated the ...