knn

K Nearest Neighbour

A collection of different classification techniques done on iris-dataset

Machine learning model to predict the number of food-borne illnesses that might occur in a state in USA

Master's machine learning projects

Classification system to precisely identify human fitness activities.

This repository contains the final project for the course CS240A-Databases and Knowledge Bases that I took at UCLA.

This script compares the accuracy of both KNN and Decision Tree and visualizes the same.

WebApp implementada en Python, Flask y OpenCV para realizar búsquedas espaciales (KNN) sobre el dataset Labeled Faces in the Wild almacenado en una estructura RTree, encodificando los vectores característicos de un rostro arbitrario para realizar una búsqueda eficiente.

Inteligência Computacional

Map-Reduce paradigm in Apache Hadoop for KNN algorithm based on Kaggle Titanic Dataset

group project for DSCI 100

Aplicação em Python de Reconhecimento de Dígitos utilizando algoritmo k-nearest neighbors (KNN).

this app is going to be a cool web service that suggest similar music based on favorited music features

Predicción del precio de propiedades de 1 a 3 ambientes en la Ciudad de Buenos Aires mediante modelos de aprendizaje automático y análisis segmentado de Puerto Madero.

Repo for Homework 6 of Intro to Data Science - CS418 @UIC Spring '23

Built a model to determine the risk associated with extending credit to a borrower. Performed Univariate and Bivariate exploration using various methods such as pair-plot and heatmap to detect outliers and to monitor the behaviour and correlation of the features. Imputed the missing values using KNN Imputer and implemented SMOTE to address the i…

Knn algorithm and Decision tree algoritm

In the ipynb file I'm running multiple ML classifier and regression algorithm's

A loan prediction model employing AI and data analysis to assist banks in determining loan approval, comparing various algorithms for accuracy.