teoria / Uber-DS-Challenge

Uber provided Data Science take home

#Uber-DS-Challenge

A data challenge provided by Uber, for a Data Scientist position.

Getting started

Repo structure

Data Challenge instructions and provided data are in docs/instructions, and responses to questions are in docs/responses. Code underlying responses to questions is in bin/.

Python Environment

Python code in this repo utilizes packages that are not part of the common library. To make sure you have all of the appropriate packages, please install Anaconda, and install the environment described in environment.yml (Instructions here, under Use environment from file, and Change environments (activate/deactivate)).

To run code

Part 1 and Part 2 are example code. They have not been validated against the tables described in the instructions, and as such should not be considered compile-ready.

To run the Python code for Part 3, complete the following:

# Install anaconda environment
conda env create -f environment.yml 

# Activate environment
source activate uber_env

# Run script
cd bin/
python p3.py

Contact

Feel free to contact me at [e-mail]