Team Members: Xuesong Hou, Chunlin Li, Yu Yang
This repository contains all of the code, data, and images throughout our data anlaysis.
train.csv
,test.csv
: converted from the original excel file provided by the challenge.pred.csv
: predictions given by our model.
eda.ipynb
: exploratory data analysis.models.ipynb
: model comparison, encoding scheme investigation.group.ipynb
: fit sparse grouping pursuit models.models.py
: functions used inmodels.ipynb
.group.py
: functions used ingroup.ipynb
.
Create a conda environment using the following command in your shell.
conda env create -f environment.yml
Activate or deactivate the virtual environment using the following commands.
conda activate wellsfargo
conda deactivate