Amatofrancesco99 / credit-risk-analysisLinks
The aim is to understand which are the key factors for a certain level of credit risk to occur. In addition, some ML models capable to predict the credit risk level for a company in an year - given past years data - have been built and compared.
☆31Updated 3 months ago
Alternatives and similar repositories for credit-risk-analysis
Users that are interested in credit-risk-analysis are comparing it to the libraries listed below
Sorting:
- Portfolio of investment and finance-related data science projects☆40Updated 5 years ago
- Modeled the credit risk associated with consumer loans. Performed exploratory data analysis (EDA), preprocessing of continuous and discre…☆91Updated 5 years ago
- Credit Risk Modelling | Calculation of PD, LGD, EDA and EL with Machine Learning in Python☆38Updated 2 years ago
- Credit Risk Modeling to Compute Expected Loss of Loans (logistic regression, linear regression)☆27Updated last year
- This repository displays my work in finance and economics datascience for future employers and collaborators.☆11Updated 2 years ago
- Quantitative Finance & Statistics Projects. Topics including multiple linear regression, variance and instability estimates, display meth…☆75Updated 5 years ago
- This repository is the result of our work for the course CSCI-SHU 360 Machine Learning☆67Updated 4 years ago
- ☆13Updated 4 years ago
- Applied Data Science for Credit Risk☆153Updated this week
- This repo contains all the files material releated to WorldQuant University's Data Science Summer 2020 Session Unit 2: Machine Learning a…☆31Updated 4 years ago
- Codes for the concepts related to quantitative finance☆56Updated 3 weeks ago
- ☆231Updated last year
- The repository of "Python for Finance Cookbook" 2nd edition☆234Updated 2 years ago
- This course is available on Coursera, and here is my own note about this course. It is taught by University of Pennsylvania.☆17Updated 2 years ago
- Study resources for quantitative finance☆179Updated 3 years ago
- ☆39Updated 10 months ago
- ☆32Updated 5 years ago
- A comprehensive credit risk model and scorecard using data from Lending Club☆144Updated 4 years ago
- Collection for your Data Science Learning☆74Updated 5 months ago
- Forecasting crude oil price based on only historical price data utilizing time-series forecasting and ensemble modeling.☆15Updated 2 years ago
- Compendium of free ML reading resources☆386Updated last week
- ☆20Updated 2 years ago
- Set of notebooks for a basic financial analysis for stocks investing with Python☆81Updated 4 months 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 …☆98Updated 4 months ago
- This course in applied data science covers the theoretical foundations of advanced quantitative approaches in machine learning, econometr…☆42Updated 4 months ago
- Code repository for the online course Machine Learning Interpretability☆27Updated 10 months ago
- Notes and exercises for Machine Learning for Trading Specialization Offered by Google Cloud and New York Institute of Finance on Coursera☆39Updated 5 years ago
- Beginner-friendly collection of Python notebooks for various use cases of machine learning, deep learning, and analytics. For each notebo…☆151Updated 2 years ago
- Preparation material and resources for the ML (including DL) and Quant Research interviews☆135Updated 4 years ago
- Python for Finance module for Imperial MSc in Mathematics and Finance☆104Updated 9 months ago