nishant1005 / Credit-Risk-Modeling-using-Machine-LearningLinks
A study and comparison of Risk Modeling algorithms (Capstone Project)
☆36Updated 7 years ago
Alternatives and similar repositories for Credit-Risk-Modeling-using-Machine-Learning
Users that are interested in Credit-Risk-Modeling-using-Machine-Learning are comparing it to the libraries listed below
Sorting:
- Credit Risk analysis by using Python and ML☆168Updated 7 years ago
- [Project repo] Improving business with a credit risk model☆22Updated 5 years ago
- This project contains codes and notebooks related to various use cases for banking.☆92Updated 7 years ago
- Time Series Decomposition techniques and random forest algorithm on sales data☆62Updated 3 years ago
- Building an PD, LGD and EAD Model for Financial Modeling.☆15Updated last year
- Jupyter Notebooks Collection for Learning Time Series Models☆74Updated 5 years ago
- Short Course - Applied Machine Learning for Risk Management☆249Updated 7 years ago
- Forecasting Time-Series Data with Facebook Prophet, published by Packt☆105Updated last month
- A comprehensive credit risk model and scorecard using data from Lending Club☆148Updated 4 years ago
- A binary classification model is developed to predict the probability of paying back a loan by an applicant. Customer previous loan journ…☆21Updated 3 years ago
- Source Code for 'Implementing Machine Learning for Finance' by Tshepo Chris Nokeri☆33Updated 4 years ago
- Credit scoring machine learning algorithm which predicts probability of default☆83Updated 7 years ago
- This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behavio…☆78Updated 5 years ago
- In this Data set we are Predicting the Insurance Claim by each user, Machine Learning algorithms for Regression analysis are used and Dat…☆39Updated 6 years ago
- Credit-Risk Modelling Libraries☆124Updated 7 years ago
- (117th place - Top 26%) Deep learning using Keras and Spark for the "Store Item Demand Forecasting" Kaggle competition.☆25Updated 6 years ago
- An Excel integration of OpenGamma Strata.☆13Updated 4 years ago
- Forecasting Monthly Sales of French Champagne - Perrin Freres☆26Updated 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 7 years ago
- Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.☆48Updated 7 years ago
- Insurance fraud claims analysis project☆54Updated last year
- Tips for Advanced Feature Engineering☆53Updated 5 years ago
- ☆26Updated 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
- Analysing the content of an E-commerce database that contains list of purchases. Based on the analysis, I develop a model that allows to …☆135Updated 7 years ago
- Build Deep Neural Network model in Keras and deploy a REST API to production with Flask on Google App Engine☆33Updated 2 years ago
- Scripts inspired by book Inventory Optimization by Nicolas Vandeput.☆44Updated 4 years ago
- Few tutorials on pandas, matplotlib and seaborn☆27Updated 9 years ago
- Using kmeans clustering, hierarchical clustering, and dynamic time warp to find natural groups in mutual funds and broker dealer offices☆12Updated 7 years ago
- ☆17Updated 4 years ago