Amatofrancesco99 / credit-risk-analysis
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.
☆23Updated last year
Alternatives and similar repositories for credit-risk-analysis:
Users that are interested in credit-risk-analysis are comparing it to the libraries listed below
- Credit Risk Modeling to Compute Expected Loss of Loans (logistic regression, linear regression)☆24Updated last year
- This repository is the result of our work for the course CSCI-SHU 360 Machine Learning☆57Updated 4 years ago
- Modeled the credit risk associated with consumer loans. Performed exploratory data analysis (EDA), preprocessing of continuous and discre…☆87Updated 4 years ago
- Portfolio of investment and finance-related data science projects☆36Updated 5 years ago
- Credit Risk Modelling | Calculation of PD, LGD, EDA and EL with Machine Learning in Python☆18Updated last year
- ☆13Updated 4 years ago
- A comprehensive credit risk model and scorecard using data from Lending Club☆137Updated 3 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 …☆85Updated last year
- The goal of this project is to build an unsupervised machine learning model that predicts customers' next purchase date.☆19Updated 3 years ago
- ☆23Updated 4 years ago
- Quantitative Finance & Statistics Projects. Topics including multiple linear regression, variance and instability estimates, display meth…☆52Updated 4 years ago
- Solved end-to-end machine learning projects☆32Updated last year
- The Hong Kong University of Science and Technology course "Python and Statistics for Financial Analysis" by Prof. Xuhu Wan on Coursera☆12Updated 2 years ago
- Credit Risk Model on Machine learning and prediction☆29Updated 4 years ago
- Project that uses deep learning to forecast stock returns and defines the optimal allocation for a maximum☆21Updated 3 years ago
- Bank customers churn dashboard with predictions from several machine learning models.☆47Updated last year
- credit-risk-modeling☆23Updated 3 years ago
- This repo contains all the files material releated to WorldQuant University's Data Science Summer 2020 Session Unit 2: Machine Learning a…☆30Updated 4 years ago
- Applied Data Science for Credit Risk☆103Updated this week
- Statistical Inference Course☆40Updated 2 months ago
- Unraveling the Secrets of Adidas' Sales Success: A Data-Driven Analysis☆20Updated last year
- Credit Risk analysis by using Python and ML☆154Updated 7 years ago
- Code I use in my YouTube videos.☆41Updated 3 months ago
- A study and comparison of Risk Modeling algorithms (Capstone Project)☆33Updated 6 years ago
- This notebook provides some skills to perform financial analysis on economical data.☆23Updated 3 years ago
- Beginner-friendly collection of Python notebooks for various use cases of machine learning, deep learning, and analytics. For each notebo…☆150Updated last year
- Codes for the concepts related to quantitative finance☆50Updated last week
- In this repo, I upload all-time series forecasting projects☆14Updated 3 years ago
- This course in applied data science covers the theoretical foundations of advanced quantitative approaches in machine learning, econometr…☆30Updated last week
- Modern Time Series Forecasting with Python 2E, Published by Packt☆109Updated 2 months ago