This Repo contains notebooks used to Obtain, Scrub, Explore, Model, and iNterpret the data from the Pump It Up competition put on by Driven Data. The task is to create a model using machine learning that will predict whether a well in Tanzania is functional, not functional, or functional but needs repair.
This repo contains:
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csv files for the data preprocessed and then processed
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the test set from the competition used to submit an entry in the competition
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a notebook that contains all the cleaning and exploratory analysis.
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a folder of notebooks creating models for the ternary classification.
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a folder contains my work on the problem using a binary classification of functional or needs repair.
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an executive summary presentation showcasing my final models and my recommendations for those looking to invest in repairing wells.
I've been working with this data in Tableau and digging a bit deeper into how to best classify.
Blog about competing for the first time. Blog about Tableau visualization