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.