[About] Predict fraudulent activity that was reported. [Tools] Random Forest, support vector machine, pandas, logistic regression,matplotlib, sklearn

[CC2-MII-UGR-2016-17] Proyectos de la asignatura Cloud Computing: Servicios y Aplicaciones

Small JavaScript implementation of ID3 Decision tree

Remote sensing and applying machine learning techniques to generate a housing register of the resolution for the Small Area Population administrative boundaries. The method applied relied upon supervised classification of satellite imagery from 2016 generating a relationship model to the latest official Irish Census. The relationship model was a…

Machine Learning project which predicts the revenue of a start-up and helps entrepreneurs take informed decisions.

A Chrome Extension that detects Phishing Websites and alerts the user regarding the same.

A mobile hybrid app to recommend Board Games through a Quiz.

A job recommender System to match between job seekers and job offers

GEE code for national-scale land cover classification using Sentinel imagery

A React Native (Expo) based mobile app that uses in-built phone sensors to categorize driving behavior using Random Forest algorithm. After categorizing, rash drivers are charged with more insurance premium and good drivers are given discounts on the premium.

A Website made with python and django, that classifies an URL according to its lexical features, using Random Forest.

Toolkit for Doing Research with ECMAScript-based Statistics (DRESS Kit)

A web-based application that will be able to scrape online reviews and make accurate predictions using machine learning models.

Breast Cancer Detection. This is a project based on Machine Learning. It is Full stack, created using Django [Python]. Used for detecting Breast Cancer from parametric data imported from sklearn.

Design and implementation of a WiFi tracking module where a bracelet can be attached to an object and the user can localize and track the current location of the object in real time through either a mobile application or a website

Breast cancer detection is a web application to detect breast cancer in women using parametric data. Backend is built using machine learning and Django. Bootstrap is used for frontend.

Random forests ported to Javascript with WebAssembly and WebWorkers

A set of machine learning algorithms, packed as modules, ready to be used in your nodejs environment.

Some test with machine learning algorithms, es6 modules and webpack.