2017 Spring (105-2) -- Machine Learning
-
Updated
May 11, 2021 - JavaScript
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
Sentiment Analysis of Twitter Data Using Logistic Regression
⭐️ Multi-Class Classification Logistic Regression with Gradient Descent in JavaScript
A predictor of GPCR couplings with G-proteins/B-arrs using Transformers
This is the framework for supervised algorithms in mechine learning
web app brand analysis and visualization. built with ReactJs and NodeJS
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
A set of machine learning algorithms, packed as modules, ready to be used in your nodejs environment.
Website to predict which matches your personality based on Machine Learning data from openpsychometrics.org.
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.
It is a full Stack Travel Blog / Wanderlusting Blog and Social Platform website, using MERN Stack.
Tinder style mobile app for commercial real estate, to collect quantitative data, to fit a binary logistic regression model for classification. (deal/no deal)
Add a description, image, and links to the logistic-regression topic page so that developers can more easily learn about it.
To associate your repository with the logistic-regression topic, visit your repo's landing page and select "manage topics."