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Process

Explore Our Data Science Process

Do you want to gain insight on a field, industry, market or business. Make data driven decisions with the use of data analytics and data mining concepts and tools.

work process
  • Step 1

    Data Exploration and Value Extraction Workflow

    Data is obtained and cleaned of "noise" and rid of in-complete data. The process entails of data sampling and transformation.

  • Step 2

    Data Modeling

    Once the data has been cleaned and prepped, we implement machine learning algorithms which is where the data is fitted into the model whereby the model is derived from data selected and business requirement to be fulfilled.

  • Step 3

    Testing the Models

    This is the most critical stage of the process whereby the model is tested with test data to evaluate the accuracy of data and has relevant desirable properties. If not xata modelling process is repeated or other alternative approaches are executed.

  • Step 4

    Deploy Models

    The model that produces the accurate results based on the assessed findings is complete its delivered and deployed in the production environment.