Summary

Analytics for calculating best return values for cars via easy user-toggleable metrics. Backend will be Python and mixture of Java and Spark/Hadoop.

Install instructions

Clone and run the myriad of datamodels on your favorite IDE (IntelliJ / Pycharm / Vscode)

List of existing models

Description	Link
Car value calculation	https://willzjc.github.io/web/reference/dcjs_value/web/index.html
Currency Relational Transitional model Based on Google Trends	https://willzjc.github.io/web/chord_transition/index.html
Word map of candidates	https://willzjc.github.io/web/wordmap/index.html

Run

pip install -r requirements.txt

Requirements

Python

Libraries used

cufflinks
scikit-learn==0.19.2
IPython
qgrid
ipywidgets==7.4.0
pandas==0.22.0
numpy==1.15.1
statistics==1.0.3.5
lxml==4.2.3
statsmodels==0.9.0
scipy==1.2.2
patsy==0.5.1