Code related to financial modeling exercises.

keywords:

"machine learning", "supervised learning", "classification", "linear regression", "logistic regression", "time series", "exploratory analysis", "loans", "credit risk", "financing"

The examples in this repository are written in both Python (Jupyer notebooks) and R (R Studio).

This work herein was informed by a number of resources and references:

1. General
2. Loan Prediction
3. Credit Risk Modeling
4. Time Series Analysis
5. Machine Learning and Deep Learning in Finance
6. Financial Analysis & Economics

• DataCamp

• Loan Default and Profitability Prediction by Peiqian Li and Gao Han
• Loan Repayment Prediction Using Machine Learning by Chang Han
• Loan Risk Analysis with XGBoost by Amy Wang and Denny Lee
• Lending Analysis and Default Rate Prediction by Qing Zhao
• A Principal Decision: The Case of Lending Club by Jonathan Ricardo Guzman

• Credit Card Default
• Credit Risk Modeling Projects

• AR(1) Time Series Process by Zsuzsanna Horvath and Ryan Johnston
• Autoregression Models for Time Series Forecasting With Python by Jason Brownlee
• Time Series & Autocorrelation Penn State

• Financial Machine Learning by Derek Snow
• Predicting Loan Grades with Neural Networks by James Andersen
• Economic Modeling and Data Science
• The Future of Lending Money Is Deep Learning by Simeon Kostadinov
• Lending Models using Machine Learning by Alishba Imran

• Quantitative Economics
• Financial Analytics with R by H Smith