learningOrchestra Docs

learningOrchestra is a distributed processing tool that facilitates and streamlines iterative processes in a Data Science project pipeline like:

  • Data Gathering
  • Data Cleaning
  • Model Building
  • Validating the Model
  • Presenting the Results

With learningOrchestra, you can:

  • load a dataset from an URL (in CSV format).
  • accomplish several pre-processing tasks with datasets.
  • create highly customised model predictions against a specific dataset by providing their own pre-processing code.
  • build prediction models with different classifiers simultaneously using a spark cluster transparently.

And so much more! Check the Usage section for more.