/wellsfargo

2020 Wells Fargo Campus Analytics Challenge.

Primary LanguageJupyter Notebook

2020 Wells Fargo Campus Analytics Challenge

Team Members: Xuesong Hou, Chunlin Li, Yu Yang

This repository contains all of the code, data, and images throughout our data anlaysis.

Data

  • train.csv, test.csv: converted from the original excel file provided by the challenge.
  • pred.csv: predictions given by our model.

Notebooks

  • eda.ipynb: exploratory data analysis.
  • models.ipynb: model comparison, encoding scheme investigation.
  • group.ipynb: fit sparse grouping pursuit models.
  • models.py: functions used in models.ipynb.
  • group.py: functions used in group.ipynb.

Environment Configuration

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