random-forest

Small JavaScript implementation of ID3 Decision tree

machine learning for genomic variants

🏭 JavaScript Machine Learning Toolkit

A tool for visualizing the structure and performance of Random Forests 🌳

A lite chrome extension for detecting phishing sites using random forest classifier

Random forests ported to Javascript with WebAssembly and WebWorkers

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 applied to classified satellite imagery from 2017 to generate a housing register and by proxy a population census. The information gathered will aid in short and long-term decision making in relation to future planning.

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

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

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

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

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

Spreadsheet Web App with Random Forest Imputation on the fly.

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

The system uses spotify API to extract features from music and uses it to train the model in order to get real time music recommendation

Machine Learning Intrusion Detection System ⚖️

Statistical Methods in Artificial Intelligence course project on implementing the paper Music Genre Classification by Haggblade et al (http://cs229.stanford.edu/proj2011/HaggbladeHongKao-MusicGenreClassification.pdf)

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

Automating the prognosis of cancer in new patients and also survival prediction of existing cancer patients to see whether they fall into relapse or non-relapse and provide appropriate treatment. We have introduced a new idea , where an e-commerce application using micro services approach has been developed to track the purchases of the users and data analysis has been done to get the required data which can be used for our prediction. Along with these, clinical data and genomic data have been trained and tested using ensemble learning algorithms for survival prediction.

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.

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

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

Node Spider，Python Random Forest, Echarts3 Visualization