Small JavaScript implementation of ID3 Decision tree
-
Updated
Jan 10, 2018 - JavaScript
Small JavaScript implementation of ID3 Decision tree
machine learning for genomic variants
A lite chrome extension for detecting phishing sites using random forest classifier
🏭 JavaScript Machine Learning Toolkit
A tool for visualizing the structure and performance of Random Forests 🌳
Random forests ported to Javascript with WebAssembly and WebWorkers
A Chrome Extension that detects Phishing Websites and alerts the user regarding the same.
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
GEE code for national-scale land cover classification using Sentinel imagery
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…
Study about Urban Green Spaces in Athens GR, using the Google Earth Engine platform, along with Landsat 8 and 9 imagery and Random Forest supervised machine learning algorithms.
Toolkit for Doing Research with ECMAScript-based Statistics (DRESS Kit)
This project leverages cutting-edge technologies like blockchain and machine learning to build trust and combat corruption in government systems. Secure Land Registry: Eliminates fraud with tamper-proof land ownership records. Automated Traffic & Challan System (using edge computing): Ensures transparency in traffic enforcement and reduces bribery
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)
The data of the top 30 companies with the highest volume on the Istanbul Stock Exchange were trained with different artificial intelligence models and transformed into tables.
A Website made with python and django, that classifies an URL according to its lexical features, using Random Forest.
A job recommender System to match between job seekers and job offers
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.
A web-based application that will be able to scrape online reviews and make accurate predictions using machine learning models.
Add a description, image, and links to the random-forest topic page so that developers can more easily learn about it.
To associate your repository with the random-forest topic, visit your repo's landing page and select "manage topics."