Niranjankumar-c / CreditRiskAnalyticsLinks
Predicting the default customers
☆18Updated 6 years ago
Alternatives and similar repositories for CreditRiskAnalytics
Users that are interested in CreditRiskAnalytics are comparing it to the libraries listed below
Sorting:
- Credit Risk analysis by using Python and ML☆173Updated 8 years ago
- Building an PD, LGD and EAD Model for Financial Modeling.☆15Updated 2 years ago
- Modeled the credit risk associated with consumer loans. Performed exploratory data analysis (EDA), preprocessing of continuous and discre…☆96Updated 5 years ago
- This project focuses on time series forecasting to predict store sales for Corporation Favorita, a large Ecuadorian-based grocery retaile…☆17Updated 2 years ago
- Recency, Frequency, and Monetary are three behavioral attributes and are quite simple, in that they can be easily computed for any databa…☆15Updated 2 months ago
- A comprehensive credit risk model and scorecard using data from Lending Club☆149Updated 4 years ago
- Time Series Decomposition techniques and random forest algorithm on sales data☆62Updated 3 years ago
- A study and comparison of Risk Modeling algorithms (Capstone Project)☆37Updated 7 years ago
- ☆24Updated 5 years ago
- ☆38Updated 7 years ago
- ☆13Updated 5 years ago
- Customer & Purchase Analytics using Segmentation, Targeting, Positioning, Marketing Mix, Price Elasticity☆50Updated 5 years ago
- Source Code for 'Applied Data Science Using PySpark' by Ramcharan Kakarla, Sundar Krishnan, and Sridhar Alla☆48Updated 4 years ago
- Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.☆49Updated 7 years ago
- Credit Risk Model on Machine learning and prediction☆31Updated 5 years ago
- What is CLV or LTV? CLV or LTV is a metric that helps you measure the customer's lifetime value to a business. In this kernel, I am shari…☆159Updated 3 years ago
- Lending Club Loan data analysis☆167Updated 6 years ago
- Scripts inspired by book Inventory Optimization by Nicolas Vandeput.☆44Updated 4 years ago
- openLGD is a Python powered library for the statistical estimation of Credit Risk Loss Given Default models. It can be used both as stan…☆25Updated last year
- Credit Risk Modeling to Compute Expected Loss of Loans (logistic regression, linear regression)☆29Updated last year
- [Project repo] Improving business with a credit risk model☆22Updated 5 years ago
- Financial data analytics with Python☆76Updated 5 years ago
- 5 machine learning techniques to forecast product sales☆144Updated 2 years ago
- This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behavio…☆79Updated 6 years ago
- A binary classification model is developed to predict the probability of paying back a loan by an applicant. Customer previous loan journ…☆22Updated 3 years ago
- Improve marketing campaign of a Portuguese bank by analyzing their past marketing campaign data and recommending which customer to target☆63Updated 7 years ago
- Credit-Risk Modelling Libraries☆131Updated 8 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 …☆137Updated 7 years ago
- Timeseries for everyone☆263Updated 2 years ago
- Short Course - Applied Machine Learning for Risk Management☆254Updated 8 years ago