Let's get those centroids!

Data Classification using K-Nearest Neighbour Classifier and Bayes Classifier with Unimodal Gaussian Density

The input for this task include gene-variation data and corresponding research text.

Classifier using supervised machine learning algorithm which can accurately predict whether or not the patients in the dataset have diabetes.

Machine Learning Model for Disease Prediction based on Symptoms given by the user. The model will predict the disease using four different algorithms by taking minimum 2 and maximum 5 symptoms as input.

Building K-Nearest-Neighbor classifier model using Spotify dataset to predict song preference of a given hypothetical person.

Diabetics Prediction using machine learning and Tableau

This project aims to predict the income bracket of individuals based on a variety of features, and presents a holistic comparative analysis between multiple machine learning algorithms through hyperparameter optimization on a binary classification problem.

Raw Coding Implementation Of Different Sorts Of Machine Learning Algorithms Without Using Library

Creating a KNN Classifier with my own code

Collection of some classical Machine learning Algorithms.

Predict the services used by telecom customers based on their demographic data with K-Nearest Neighbors algorithm. The dataset is present in this repo.

Performance Comparison of two different distance metrics in K - Nearest Neighbors

This is a Python - based application that predicts diseases based on the symptoms inputted by the user using machine learning (KNN classifier algorithm).

Built an image classification machine learning model using KNN.

Classificadores vizinho mais próximo, k-vizinhos mais próximos e centroíde programados em Haskell para primeiro e segundo o trabalho computacional de Programação Funcional.

An implementation of the **k-Nearest Neighbours Classification Algorithm** using some popular demo datasets.