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York University. ML1000 - Machine Learning in Business Context. Assignment #1 - Classification Problem

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ML1000-1

York University. ML1000 - Machine Learning in Business Context. Assignment #1 - Classification Problem

Project Structure

  • Project presentation document: AusWeather.pdf.
  • data folder contains the project data sets and trained model file.
  • source folder contains the script that generates the report.
  • shiny folder includes the source code of the shiny app.

To run the project code:

  • set the working directory to ./source
  • open main.Rmd. Please make sure that you install all required packages; they are listed at the beginning of the script. It is assumed that all R Markdown dependencies are satisfied, including the libraries that do conversion to the PDF format. Execute the script. Note: it takes about an hour to execute the script. It is possible to reduce the execution time changing the SampleSize value in the script to 3000, 4000 records. Do not go below 3K; some algorithms might not converge!

Shiny App

URL: Rain in Australia Predictor

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York University. ML1000 - Machine Learning in Business Context. Assignment #1 - Classification Problem

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