CS760: Machine Learning

RapidMiner-DataMinig

KNN problem in Celestial Coordinates System & Angular Distance Metrics

knn algorithm on titanic passengers list

Basic Machine Learning to predict job salary

Implementation of K-Nearest Neighbours (KNN) from scratch

Most Favourite ML Algorithm Coded from Scratch using Python

KNN Classifier problem for classifying Glass type using the composition of elements

in this project, logistic regression, KNN, classification trees, random forests and neural network were used.

Análise de classificação utilizando o algoritmo k-NN no conjunto de dados Iris e analise de regressão utilizando o algoritmo k-NN no conjunto de dados do setembro amarelo

E farming complete support system for Smart Agriculture - Research Paper

The K-Nearest Neighbors (KNN) algorithm is a simple, supervised machine learning algorithm that can be used for both classification and regression tasks.

in this repository i am going to perform classification with the help of KNN on the real life dataset , initially i performed some data preprocessing technique in order to filter out the data flaws then undergoes the process of model building i.e KNN classification .

This repository is dedicated to the detection of faults in electric motors through machine learning techniques, specifically utilizing the K-Nearest Neighbors (KNN) algorithm. It contains datasets, Python scripts, and accompanying documentation necessary for implementing and understanding the fault detection process.

This repository contains Machine Learning Projects

A collection of machine learning models with python.

Handwriting recognition using several algorithms - NN,KNN, and neural networks (with back propogation)

KNN Algorithm