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Machine Learning using JavaScript

This is a small project which shows how to implement basic machine learning models in JavaScript with comparison files in R.

Installation Notes

For JS:

Make sure you have NodeJS installed, clone the repo, install the dependencies listed in package.json, navigate to source/JS/ then run either of the following:

node logistic_regression_simple.js

node neural_net_simple.js

For R:

Open the included R project file in RStudio, then run either logistic_regression_simple.r or mlp_simple.r.

Resources

Inspiration for this project came from here:

https://github.com/junku901/machine_learning

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An example of implementing machine learning in JS.

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