This repository contains the collection of UCI (real-life) datasets and Synthetic (artificial) datasets (with cluster labels and MATLAB files) ready to use with clustering algorithms.

Simple API for UCI Machine Learning Dataset Repository (search, download, analyze)

We currently maintain 488 data sets as a service to the machine learning community. You may view all data sets through our searchable interface. For a general overview of the Repository, please visit our About page. For information about citing data sets in publications, please read our citation policy. If you wish to donate a data set, please c…

Heart Disease Analysis repository

Online decorrelation of humidity and temperature in chemical sensors for continuous monitoring

Diabetes predictions application with gui

𝗙𝗶𝗿𝗲 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻🔥using Machine Learning Algorithm with python🐍, GoogleColab & database taken from 𝗨𝗖𝗜 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗥𝗲𝗽𝗼𝘀𝗶𝘁𝗼𝗿𝘆

The data is related with direct marketing campaigns (phone calls) of a Portuguese banking institution. The classification goal is to predict if the client will subscribe a term deposit.

A spot for all the datasets you need.

Classifying malignant and benign tumors using Neural Networks 🔬

Machine Learning Algorithms Python [In Active Development]

R data package containing data sets on UCI's ML repo

An SVM model for multi-class classification of Thyroid data.

Computer Intelligence subject final project at UPC.

Machine learning project on Distinguish between the presence and absence of cardiac arrhythmia and its classification in one of the 16 groups.

Clustering similar tweets using K-means clustering algorithm and Jaccard distance metric

This project was part of the MIS6v99 Applied Machine Learning course that I took in Spring 2019. The goal of this project is to help the auditors by building a classification model that can predict the fraudulent firm on the basis the present and historical risk factors. The dataset is collected from the Auditor Office of India to build a predic…

Predict the type of arrhythmia based on Electro-cardiogram (ECG) tool using machine learning models and algorithms.

An unofficial R port of the Python package to download data off of the UCI ML repository