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The current directory is going to have all the work and code related to the second capstone project "Google Customer Revenue Prediction". This problem was chosen after exploring few ideas. The other ideas were complex and didn't have sufficient data at hand.

The project proposal talk in detail about the problem at hand and the approach I am going to follow. This problem is from a Kaggle challenge. The aim is to go through the whole DataScience process and apply all the knowledge earned so far.

To understand the whole data science process these links can be followed in order:

Project Proposal

Data Wrangling

Data Storytelling

Statistical Inference

ML modeling

Final Report (different formats):

    Jupyter Notebook

    PDF

    HTML (download and read)

Presentation (different formats):

    Presentation - keynote

    Presentation - PDF