2017 Spring (105-2) -- Machine Learning

Package provides javascript implementation of linear regression and logistic regression

🏭 JavaScript Machine Learning Toolkit

⭐️ Logistic Regression with Gradient Descent in JavaScript

Predict diabetes disease using a Logistic Regression with TensorFlow.js

⭐️ Multi-Class Classification Logistic Regression with Gradient Descent in JavaScript

Sentiment Analysis of Twitter Data Using Logistic Regression

A predictor of GPCR couplings with G-proteins/B-arrs using Transformers

web app brand analysis and visualization. built with ReactJs and NodeJS

This is the framework for supervised algorithms in mechine learning

An AI platform for analyzing social media comments using NLP techniques to classify sentiments, detect emotions, and extract actionable insights.

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

The frontEnd for the credit decisioning model

Simulation of Logistic Regression algorithm using P5.JS and Tensorflow.js

Website to predict which matches your personality based on Machine Learning data from openpsychometrics.org.

flask website that automatically assigns multiple relevant tags to a Stackoverflow question

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

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

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