Modeled the credit risk associated with consumer loans. Performed exploratory data analysis (EDA), preprocessing of continuous and discrete variables using various techniques depending on the feature. Checked for missing values and cleaned the data. Built the probability of default model using Logistic Regression. Visualized all the results. Com…
☆98Mar 31, 2020Updated 5 years ago
Alternatives and similar repositories for Credit-Risk-Modeling-in-Python
Users that are interested in Credit-Risk-Modeling-in-Python are comparing it to the libraries listed below
Sorting:
- openLGD is a Python powered library for the statistical estimation of Credit Risk Loss Given Default models. It can be used both as stan…☆25Oct 14, 2024Updated last year
- In this repository I document my learnings from the course on Udemy - udemy.com/course/credit-risk-modeling-in-python/☆18Jan 10, 2020Updated 6 years ago
- I perform time series analysis of data from scratch. I also implement The Autoregressive (AR) Model, The Moving Average (MA) Model, The A…☆62Apr 8, 2020Updated 5 years ago
- [Project repo] Improving business with a credit risk model☆22Oct 23, 2020Updated 5 years ago
- predictive model to calculate the probability of the credit risk and choose cut-off rate for default risk to provide decision support on …☆13Dec 2, 2014Updated 11 years ago
- Credit-Risk Modelling Libraries☆133Feb 5, 2018Updated 8 years ago
- Credit Risk Model on Machine learning and prediction☆31Jul 16, 2020Updated 5 years ago
- Classification problem to predict loan defaulters using Lending Club Dataset☆11Jan 26, 2019Updated 7 years ago
- L&T Financial Services & Analytics Vidhya presents ‘DataScience FinHack’. where I have predicted whether the customer will be defaulter i…☆10Apr 13, 2019Updated 6 years ago
- 风控相关内容学习(风控建模、风控策略等)☆24May 22, 2022Updated 3 years ago
- A study and comparison of Risk Modeling algorithms (Capstone Project)☆37Jun 17, 2018Updated 7 years ago
- Credit scoring machine learning algorithm which predicts probability of default☆89Nov 19, 2017Updated 8 years ago
- The full scope of IFRS 9 Impairment models including PD, LGD and EAD are provided. It also covers ECL, which is the combination of those …☆109Nov 8, 2025Updated 4 months ago
- A Credit Risk Scoring Modeling and Validation Package☆67Mar 15, 2019Updated 7 years ago
- Lending Club Loan data analysis☆167Jul 8, 2019Updated 6 years ago
- Credit Risk Modeling to Compute Expected Loss of Loans (logistic regression, linear regression)☆32Feb 26, 2024Updated 2 years ago
- MLFlow End to End Workshop at Chandigarh University☆11Feb 3, 2023Updated 3 years ago
- Docker For Python Machine learning☆11Jan 11, 2023Updated 3 years ago
- Code Repository for Hyperledger for Blockchain Applications, by Packt Publishing☆13Jan 12, 2023Updated 3 years ago
- Examining the underlying data of Whatsapp conversations in detail and presenting them to the user in an entertaining way☆11Mar 19, 2022Updated 4 years ago
- 🤖 Script that automatically sends huge amount of text anywhere.☆10Aug 16, 2021Updated 4 years ago
- RFM (Recency, Frequency, Monetary) Analysis is a marketing technique used to determine quantitatively which customers are the best ones b…☆11May 15, 2018Updated 7 years ago
- Data Analysis and Machine Learning with Python: EDA with ECDF and ANOVA, Correlation and Regression analysis, Data standardisation and F…☆11Jul 18, 2017Updated 8 years ago
- The approach involves the usage of Multi-Criteria Decision Analyses, including Weighted Sum Model (WSM), Weighted Product Model (WPM) and…☆11Oct 22, 2021Updated 4 years ago
- Udacity Data Engineering Nanodegree Projects☆11Sep 5, 2019Updated 6 years ago
- This is the work from my learnings from the Data Science with Python course offered by DataCamp. This was a really helpful course as it s…☆10Mar 12, 2021Updated 5 years ago
- Introductory interactive Jupyter tutorial providing details about ORMs in order to assist in the teaching of their use to computing scien…☆14Oct 21, 2025Updated 4 months ago
- A Python library for generating analytic tests for credit portfolio loss distributions☆33Dec 17, 2024Updated last year
- Jupyter notebooks illustrating solutions to computational macroeconomic problems☆16Jul 15, 2021Updated 4 years ago
- Course material for Bayesian and Modern Statistics, STA601, Duke University, Spring 2015.☆20Mar 9, 2016Updated 10 years ago
- Build a Complex Reporting Dashboard using Dash and Plotly☆219Dec 8, 2022Updated 3 years ago
- Dynare .mod files for macroeconomic DSGE models☆17Mar 5, 2026Updated 2 weeks ago
- Lifetime Expected Credit Loss calculation under IFRS 9☆12Apr 27, 2017Updated 8 years ago
- Some old code.☆11Apr 8, 2019Updated 6 years ago
- ☆13Mar 29, 2023Updated 2 years ago
- This repository replicates the figures from the 3rd edition of the book "Recursive Macroeconomic Theory" by Lars Ljungqvist and Thomas J.…☆12Feb 9, 2016Updated 10 years ago
- Understand why employees leave a company and apply various machine learning models to predict the next leaver!☆54Jun 8, 2018Updated 7 years ago
- The easiest way to build a choropleth map in Python using Plotly☆15Feb 14, 2020Updated 6 years ago
- Explore integration between Watson Studio and Cognos Analytics☆13Jul 22, 2020Updated 5 years ago