ali-ghorbani-k / Credit-Risk-Management
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 (…
☆20Updated 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
- A study and comparison of Risk Modeling algorithms (Capstone Project)☆31Updated 6 years ago
- Building an PD, LGD and EAD Model for Financial Modeling.☆13Updated last year
- A re-creation of SAS varclus procedure in Python☆23Updated 6 years ago
- A comprehensive credit risk model and scorecard using data from Lending Club☆138Updated 3 years ago
- Time-Series forecasting using Stats models, LightGBM & LSTM☆36Updated 4 years ago
- Credit-Risk Modelling Libraries☆114Updated 6 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
- Credit Risk analysis by using Python and ML☆152Updated 7 years ago
- Modeled the credit risk associated with consumer loans. Performed exploratory data analysis (EDA), preprocessing of continuous and discre…☆85Updated 4 years ago
- ☆13Updated 4 years ago
- [Project repo] Improving business with a credit risk model☆17Updated 4 years ago
- ☆49Updated 5 years ago
- ☆0Updated 7 years ago
- Predicting how capable each applicant is of repaying a loan (Kaggle Challenge)☆11Updated 2 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
- Credit Risk Model on Machine learning and prediction☆29Updated 4 years ago
- Sentiment Analysis by Machine Learning, LSTM and BERT☆67Updated last year
- Credit Risk Modeling to Compute Expected Loss of Loans (logistic regression, linear regression)☆23Updated 10 months ago
- Mining the Polish Bankruptcy Data☆42Updated 4 years ago
- credit risk score card develop by python(version 3.6)☆41Updated 7 years ago
- Time Series Decomposition techniques and random forest algorithm on sales data☆56Updated 2 years ago
- Tips for Advanced Feature Engineering☆52Updated 4 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)☆13Updated 6 years ago
- ☆22Updated 4 years ago
- Predict seasonal item sales using classical time-series forecasting methods like Seasonal ARIMA and Triple Exponential Smoothing and curr…☆29Updated 4 years ago
- 12th place solution for Kaggle Corporación Favorita Grocery Sales Forecasting☆15Updated 6 years ago
- Predict whether a loan will be repaid using automated feature engineering.☆63Updated last year
- LGBM☆15Updated 3 years ago
- ☆16Updated 8 years ago