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 (…
☆21Updated 3 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:
- Credit Risk analysis by using Python and ML☆172Updated 8 years ago
- A comprehensive credit risk model and scorecard using data from Lending Club☆148Updated 4 years ago
- Modeled the credit risk associated with consumer loans. Performed exploratory data analysis (EDA), preprocessing of continuous and discre…☆94Updated 5 years ago
- Tips for Advanced Feature Engineering☆53Updated 5 years ago
- Python package that optimizes information value, weight-of-evidence monotonicity and representativeness of features for credit scorecard …☆117Updated 3 years ago
- A study and comparison of Risk Modeling algorithms (Capstone Project)☆36Updated 7 years ago
- Time Series Decomposition techniques and random forest algorithm on sales data☆62Updated 3 years ago
- Credit-Risk Modelling Libraries☆130Updated 7 years ago
- Time-Series forecasting using Stats models, LightGBM & LSTM☆39Updated 5 years ago
- Short Course - Applied Machine Learning for Risk Management☆251Updated 7 years ago
- (117th place - Top 26%) Deep learning using Keras and Spark for the "Store Item Demand Forecasting" Kaggle competition.☆26Updated 6 years ago
- ☆49Updated 6 years ago
- A competition held by Chinese society of social insurance and Aibaba Group. I individually got the ranking of 15 in the first round and 1…☆30Updated 8 years ago
- Building an PD, LGD and EAD Model for Financial Modeling.☆15Updated last year
- Timeseries for everyone☆264Updated 2 years ago
- Lending Club Loan data analysis☆165Updated 6 years ago
- Predicting how capable each applicant is of repaying a loan (Kaggle Challenge)☆12Updated 3 years ago
- [Project repo] Improving business with a credit risk model☆21Updated 5 years ago
- ☆136Updated 7 years ago
- Tuning XGBoost hyper-parameters with Simulated Annealing☆54Updated 8 years ago
- Credit Card Fraud Detection using ML: IEEE style paper + Jupyter Notebook☆107Updated 3 years ago
- ☆24Updated 5 years ago
- Credit card fraud detection through logistic regression, k-means, and deep learning.☆263Updated 7 years ago
- ☆13Updated 5 years ago
- These common credit score data sets are collected to empirical evaluations, and I will update dynamically.☆90Updated 6 years ago
- Predicting the default customers☆18Updated 6 years ago
- Forecasting Time-Series Data with Facebook Prophet, published by Packt☆106Updated last month
- Predict whether a loan will be repaid using automated feature engineering.☆64Updated 2 years ago
- This portfolio is a compilation of notebooks which I created for Data Science related tasks like Tutorials, Exploratory Data Analysis, an…☆83Updated 11 months ago
- Predict seasonal item sales using classical time-series forecasting methods like Seasonal ARIMA and Triple Exponential Smoothing and curr…☆32Updated 5 years ago