Taxi Profit Datascience Competition 2018

Final project for a competition analyzing over a billion data points (50 GB) of data.
We fit the data using a linear regression model with time series errors to predict median taxi revenue. 🚕
We won second from over 40 graduate teams!

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Name		Name	Last commit message	Last commit date
Latest commit History 8 Commits
2018DataScienceCompetition.pdf		2018DataScienceCompetition.pdf
EDA_Product_Sales_Prediction.ipynb		EDA_Product_Sales_Prediction.ipynb
README.md		README.md
__init__.py		__init__.py
countna.py		countna.py
indicatorsums.py		indicatorsums.py
plotting.ipynb		plotting.ipynb
pointtest.py		pointtest.py
summedians.py		summedians.py
sumtotals.py		sumtotals.py
testing.ipynb		testing.ipynb
tripspermonth.py		tripspermonth.py
visualizations.py		visualizations.py

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