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…

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

Heart Disease Analysis repository

Diabetes predictions application with gui

A spot for all the datasets you need.

Classifying malignant and benign tumors using Neural Networks 🔬

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.

Machine Learning Algorithms Python [In Active Development]

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

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

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

Computer Intelligence subject final project at UPC.

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

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

Basic Support for Final Projects in UCI CS 273A: Machine Learning

Marketing refers to activities undertaken by a company to promote the buying or selling of a product or service. Marketing includes advertising, selling, and delivering products to consumers or other businesses. Our data is related with direct marketing campaigns of a Portuguese banking institution. The marketing campaigns were based on phone ca…

Applying Machine Learning techniques to identify randomly distorted capital letters in the English alphabet.