Build a kNN (k-Nearest Neighbor) model from scratch to predict 10 test data.

Machine Learning

Feature wise normalization: An effective way of normalizing data

An AI that uses nearest-neighbor classifier to determine whether online shopping customers will complete a purchase

Wearable Technologies coursework assignment

This repository contains Jupyter Notebook file containing the code to compare different sklearn classifiers on a dataset. Then it saves the output .png results in the working folder.

Repository of data science projects completed for combinations of academic and personal learning.

Machine Learning and Analysis of Big Data course, Computer Science M.Sc., Ben Gurion University of the Negev, 2020

Medoid Based Nearest Neghbor Decision Rule (MedNN)

Classification of Breast Cancer into Malignant or Benign type on the basis of computed features from a digitized image of a fine needle aspirate (FNA) of a breast mass.

A simple program to classify the nearest neighbor for different data clusters

Digital Image Processing

'Learning' programming assignments for the Harvard CS50's Introduction to Artificial Intelligence with Python 2021 course

This is a course project to select a subset of data to build an efficient nearest neighbor classifier. Choosing a representative subset of "prototypes" from the training set is crucial for accelerating nearest neighbor classifiers. This project proposes projecting the data into a latent space using a pretrained embedder.

Aplikacja desktopowa na zaliczenie przedmiotu projektowego. Temat: Tracking z wykorzystaniem uczenia maszynowego.

C++/Python implementation of Nearest Neighbor Descent for efficient approximate nearest neighbor search

Machine Learning Project (Bayes/KNN Classifiers)