Alternatives and similar repositories for Credit-Risk-Modelling:

Users that are interested in Credit-Risk-Modelling are comparing it to the libraries listed below

• vishnukanduri / Credit-Risk-Modeling-in-Python
  Modeled the credit risk associated with consumer loans. Performed exploratory data analysis (EDA), preprocessing of continuous and discre…
  ☆86Updated 4 years ago
• finlytics-hub / credit_risk_model
  A comprehensive credit risk model and scorecard using data from Lending Club
  ☆138Updated 3 years ago
• 30lm32 / ml-time-series-analysis-on-sales-data
  Time Series Decomposition techniques and random forest algorithm on sales data
  ☆57Updated 2 years ago
• shawn-y-sun / Credit_Risk_Model_LoanDefaults
  Credit Risk Modeling to Compute Expected Loss of Loans (logistic regression, linear regression)
  ☆24Updated 11 months ago
• srivatsan88 / End-to-End-Time-Series
  This repository hosts code for my Time Series videos part of playlist here - https://www.youtube.com/playlist?list=PL3N9eeOlCrP5cK0QRQxeJ…
  ☆261Updated 2 years ago
• SooyeonWon / customer_analytics_fmcg
  Customer & Purchase Analytics using Segmentation, Targeting, Positioning, Marketing Mix, Price Elasticity
  ☆42Updated 4 years ago
• aniruddhachoudhury / Credit-Risk-Model
  Credit Risk Model on Machine learning and prediction
  ☆29Updated 4 years ago
• rakshithvasudev / Home-Credit-Default-Risk
  Predicting how capable each applicant is of repaying a loan (Kaggle Challenge)
  ☆11Updated 2 years ago
• susanli2016 / Hands-On-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlow-2nd-Edition
  Book Projects
  ☆25Updated 3 years ago
• evansdoe / online_retail
  The goal of this project is to build an unsupervised machine learning model that predicts customers' next purchase date.
  ☆19Updated 3 years ago
• sujaytalesara / Predictive-Analytics
  Building an PD, LGD and EAD Model for Financial Modeling.
  ☆13Updated last year
• yineme / Credit_Risk_modelling
  ☆13Updated 4 years ago
• abhashpanwar / credit-risk-modeling
  credit-risk-modeling
  ☆23Updated 3 years ago
• max-fitzpatrick / Credit-scoring-model
  Credit scoring machine learning algorithm which predicts probability of default
  ☆78Updated 7 years ago
• naenumtou / ifrs9
  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 …
  ☆82Updated 11 months ago
• solegalli / Python-Feature-Engineering-Cookbook-Second-Edition
  ☆12Updated 8 months ago
• shawn-y-sun / Customer_Analytics_Retail
  Customer Analytics for a FMCG company (K-means clustering, PCA, logistic regression, linear regression)
  ☆16Updated 3 years ago
• samirsaci / ml-forecast-features-eng
  Machine Learning for Retail Sales Forecasting — Features Engineering
  ☆60Updated 3 months ago
• saritmaitra / Segmentation-Clustering
  Recency, Frequency, and Monetary are three behavioral attributes and are quite simple, in that they can be easily computed for any databa…
  ☆15Updated last year
• cereniyim / Customer-Segmentation-Unsupervised-ML-Model
  Customer-base segmentation over e-commerce sales data
  ☆25Updated 4 years ago
• jalajthanaki / credit-risk-modelling
  Credit Risk analysis by using Python and ML
  ☆153Updated 7 years ago
• marcopeix / AppliedTimeSeriesAnalysisWithPython
  ☆35Updated 3 years ago
• netsatsawat / HR-Analytics
  This repository demonstrates how data science can help to identify the employee attrition which is part of Human Resource Management
  ☆16Updated 5 years ago
• chudzikr / Fraud_Detection_in_Python
  Fraud Detection in Python, DataCamp course
  ☆12Updated 5 years ago
• bhattbhavesh91 / time_series_notebooks
  My Experiments with Time Series
  ☆25Updated 3 years ago
• chen-bowen / Data_Science_Portfolio
  Portofolio repository for Udacity Data Scientist Nanodegree
  ☆41Updated 4 years ago
• mengyjia / Marketing-Analytics
  Complete machine learning analysis to solve marketing problems.
  ☆18Updated 6 years ago
• takechanman1228 / Effective-CLV-Modeling
  ☆20Updated last year
• HegdeChaitra / Bank-Marketing-Campaign-Analysis
  Improve marketing campaign of a Portuguese bank by analyzing their past marketing campaign data and recommending which customer to target
  ☆57Updated 6 years ago
• sowmyacr / kmeans_cluster
  Customer segmentation using k-means clustering in python
  ☆57Updated 6 years ago