ali-ghorbani-k / Credit-Risk-ManagementLinks
A binary classification model is developed to predict the probability of paying back a loan by an applicant. Customer previous loan journey was used to extract useful features using different strategies such as manual and automated feature engineering, and deep learning (CNN, RNN). Various machine learning algorithms such as Boosted algorithms (…
☆22Updated 2 years ago
Alternatives and similar repositories for Credit-Risk-Management
Users that are interested in Credit-Risk-Management are comparing it to the libraries listed below
Sorting:
- Building an PD, LGD and EAD Model for Financial Modeling.☆14Updated last year
- Credit Risk analysis by using Python and ML☆161Updated 7 years ago
- Modeled the credit risk associated with consumer loans. Performed exploratory data analysis (EDA), preprocessing of continuous and discre…☆90Updated 5 years ago
- Credit Risk Model on Machine learning and prediction☆30Updated 4 years ago
- A study and comparison of Risk Modeling algorithms (Capstone Project)☆35Updated 7 years ago
- ☆13Updated 4 years ago
- A comprehensive credit risk model and scorecard using data from Lending Club☆140Updated 4 years ago
- Time-Series forecasting using Stats models, LightGBM & LSTM☆38Updated 5 years ago
- [Project repo] Improving business with a credit risk model☆21Updated 4 years ago
- Market Risk Management with Time Series Prediction of Stock Market Trends using ARMA, ARIMA, GARCH regression models and RNN for time ser…☆21Updated 7 years ago
- ☆23Updated 4 years ago
- Applying machine learning to predict loan charge-offs on LendingClub.com☆42Updated 7 years ago
- Predicting how capable each applicant is of repaying a loan (Kaggle Challenge)☆12Updated 2 years ago
- ☆1Updated 7 years ago
- credit-risk-modeling☆28Updated 4 years ago
- ☆34Updated 3 years ago
- Sentiment Analysis by Machine Learning, LSTM and BERT☆68Updated 2 years ago
- ☆50Updated 6 years ago
- Credit-Risk Modelling Libraries☆121Updated 7 years ago
- A project on machine learning techniques dealing with imbalanced classification (Python)☆11Updated 7 years ago
- ☆16Updated 8 years ago
- You work for a consumer finance company which specializes in lending various types of loans to urban customers. When the company receives…☆13Updated 3 years ago
- This project is to practice applying Long Short-Term Memory network in deep learning to predict time series financial data. I selected Am…☆15Updated 7 years ago
- LGBM :推导原理、参数含义、超参数设置(网格、随机、贝叶斯搜索)☆12Updated 6 years ago
- My codework for my economics undergraduate thesis titled "Empirical Asset Pricing via Deep Learning"☆49Updated 5 years ago
- Using various machine learning models to predict whether a company will go bankrupt☆29Updated 2 years ago
- Tips for Advanced Feature Engineering☆52Updated 4 years ago
- Jupyter Notebooks Collection for Learning Time Series Models☆72Updated 5 years ago
- ☆81Updated 3 years ago
- A re-creation of SAS varclus procedure in Python☆23Updated 6 years ago