Build a Python module to extract, process and create a database to analyze the results for patterns and predictions, Exploring data will occupy the largest portion of attention, and should be second nature in order to deeply understand the phenomenon being modeled, and the validity and reliability of the inputs, including but not limited to inspecting univariate distributions, exploring bivariate relationships, constructing appropriate transformations, and tracking down the source and meaning of anomalies when and where they arise, Automate scoring using machine learning techniques