financial_distress

Machine Learning Pipeline + Exploration of Credit Data

Task Description:

Predict which people will experience financial distress in the next two years based on:

• 10 numeric variables
• an identification number
• one categorical geographic variable (zip code).

The outcome variable (label) in the data is SeriousDlqin2yrs.

Contents

data: directory containing dataset CSV file containing (modified version of data from https://www.kaggle.com/c/GiveMeSomeCredit) and .xls data dictionary

credit_util.py: assignment-specific utility functions

finan_distress.ipynb: ipython notebook calling pipeline functions to predict financial distress

ml_pipeline_lch.py: machine learning pipeline functions for reading and pre-processing data

ml_explore.py: pipeline functions for data exploration

ml_modeling.p: machine learning pipeline functions for decision tree model building

tree.dot: visualization of decision tree model

Repository requirements:

pip install -r requirements.txt