Online Machine Learning library, coded in R interfaced with HTML/CSS/JavaScript using Shiny. Supports Artificial Neural Network for now. SVM, Naive Bayes, Principal Component Analysis support coming soon.
####Demo
Check out the deployed web app at:
https://umarfarooq360.shinyapps.io/ML_Kit/
###Deployment and Usage Preview
Usage
- Upload the training file. CSV and XLS formats are accepted.
- Select the dependent variable and the features.
- Select training parameters.
- Upload or select testing data. The app accepts seperate testing data as well as support for using a sample of the training data for testing.
- Press the run button(once only). It'll take a little bit of time depending on the size of the data and then show the results.
####Modifying the Code Clone the repository. Assuming you have R installed, install the shiny package by running
install.packages("shiny")
Load the library by running
library(shiny)
```
I would recommend using [RStudio](http://www.rstudio.com/) for Shiny apps.
The app works with just two files ui.R and server.R.
Check out the Shiny Documentation for more details.
http://shiny.rstudio.com/