nishant1005 / Credit-Risk-Modeling-using-Machine-Learning
A study and comparison of Risk Modeling algorithms (Capstone Project)
☆33Updated 6 years ago
Alternatives and similar repositories for Credit-Risk-Modeling-using-Machine-Learning:
Users that are interested in Credit-Risk-Modeling-using-Machine-Learning are comparing it to the libraries listed below
- Building an PD, LGD and EAD Model for Financial Modeling.☆13Updated last year
- Modeled the credit risk associated with consumer loans. Performed exploratory data analysis (EDA), preprocessing of continuous and discre…☆87Updated 4 years ago
- A comprehensive credit risk model and scorecard using data from Lending Club☆137Updated 3 years ago
- Credit Risk analysis by using Python and ML☆154Updated 7 years ago
- Credit Risk Model on Machine learning and prediction☆29Updated 4 years ago
- Time Series Decomposition techniques and random forest algorithm on sales data☆57Updated 2 years ago
- Recency, Frequency, and Monetary are three behavioral attributes and are quite simple, in that they can be easily computed for any databa…☆15Updated last year
- Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.☆46Updated 6 years ago
- Forecasting Monthly Sales of French Champagne - Perrin Freres☆25Updated 5 years ago
- Tips for Advanced Feature Engineering☆52Updated 4 years ago
- In this repository I document my learnings from the course on Udemy - udemy.com/course/credit-risk-modeling-in-python/☆17Updated 5 years ago
- Unsupervised ML: Finding Customer Segments in General Population☆16Updated 5 years ago
- ☆22Updated 4 years ago
- Jupyter Notebooks Collection for Learning Time Series Models☆68Updated 5 years ago
- Code for Machine Learning for Algorithmic Trading, 2nd edition.☆18Updated 2 years ago
- Predicting the Likelihood to Purchase a Financial Product Following a Direct Marketing Campaign☆27Updated 2 years ago
- Small example on how you can detect multicollinearity☆13Updated 3 years ago
- This project contains codes and notebooks related to various use cases for banking.☆90Updated 6 years ago
- Credit Risk Modeling to Compute Expected Loss of Loans (logistic regression, linear regression)☆24Updated last year
- A binary classification model is developed to predict the probability of paying back a loan by an applicant. Customer previous loan journ…☆21Updated 2 years ago
- Credit-Risk Modelling Libraries☆115Updated 7 years ago
- Predicting the default customers☆18Updated 5 years ago
- This MVP data web app uses the Streamlit framework and Facebook's Prophet forecasting package to generate a dynamic forecast from your ow…☆66Updated last year
- (117th place - Top 26%) Deep learning using Keras and Spark for the "Store Item Demand Forecasting" Kaggle competition.☆26Updated 5 years ago
- Financial and Investment Data Science: FinDS Python library and examples for applying quantitative and machine learning methods on struct…☆39Updated 8 months ago
- This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behavio…☆71Updated 5 years ago
- Code used to implement various stochastic intensity models for univariate and multivariate credit risk models.☆21Updated 11 years ago
- applications for risk management through computational portfolio construction methods☆38Updated 4 years ago
- Financial Engineering and Risk Management Course, 2013☆39Updated 9 years ago
- Insurance fraud claims analysis project☆52Updated last year