TheSarang / Predicting-Taiwanese-Bank-Credit-Card-Default-Payments
This dataset contains information on default payments, demographic factors, credit data, history of payment, and bill statements of credit card clients in Taiwan from April 2005 to September 2005.
☆11Updated 10 months ago
Alternatives and similar repositories for Predicting-Taiwanese-Bank-Credit-Card-Default-Payments:
Users that are interested in Predicting-Taiwanese-Bank-Credit-Card-Default-Payments are comparing it to the libraries listed below
- keywords - XGboost, Smote, Hyperparameter tuning, Python☆12Updated 6 years ago
- Machine Learning/Pattern Recognition Models to analyze and predict if a client will subscribe for a term deposit given his/her marketing …☆15Updated 6 years ago
- Given the Bank customer relationship data, predict whether a customer will subscribe to a term deposit or not.☆14Updated 4 years ago
- Mining the Polish Bankruptcy Data☆42Updated 4 years ago
- Modeled the credit risk associated with consumer loans. Performed exploratory data analysis (EDA), preprocessing of continuous and discre…☆85Updated 4 years ago
- Data analysis of a real Czech bank.☆17Updated 5 years ago
- Improve marketing campaign of a Portuguese bank by analyzing their past marketing campaign data and recommending which customer to target☆57Updated 6 years ago
- Stock market prediction of a stock using stacked LSTM☆10Updated 4 years ago
- An Exploratory Data Analysis on the World Bank Dataset.☆13Updated 4 years ago
- Analysis and classification using machine learning algorithms on the UCI Default of Credit Card Clients Dataset.☆19Updated 2 years ago
- A comprehensive credit risk model and scorecard using data from Lending Club☆138Updated 3 years ago
- Credit scoring machine learning algorithm which predicts probability of default☆76Updated 7 years ago
- Analysis of bank marketing campaign data☆11Updated 5 years ago
- AlekhyaBhupati / Demand-Forecasting-Models-for-Supply-Chain-Using-Statistical-and-Machine-Learning-AlgorithmsInternship project☆51Updated 3 years ago
- Building an PD, LGD and EAD Model for Financial Modeling.☆13Updated last year
- Play bank data scientist and use regression discontinuity to see which debts are worth collecting.☆22Updated 9 months ago
- In depth analysis and forecasting of product sales based on the items, stores, transaction and other dependent variables like holidays an…☆99Updated 6 years ago
- This repository demonstrates how data science can help to identify the employee attrition which is part of Human Resource Management☆16Updated 5 years ago
- The goal of this project is to build an unsupervised machine learning model that predicts customers' next purchase date.☆19Updated 3 years ago
- Customer & Purchase Analytics using Segmentation, Targeting, Positioning, Marketing Mix, Price Elasticity☆42Updated 4 years ago
- Data Science In Investment Banking☆19Updated 5 years ago
- Time Series Decomposition techniques and random forest algorithm on sales data☆56Updated 2 years ago
- Predict if the client will subscribe to direct marketing campaign for a banking institution Problem Statement: The data is related to dir…☆11Updated 5 years ago
- Credit Risk Model on Machine learning and prediction☆29Updated 4 years ago
- A Data science app to predict who in Africa is most likely to have a bank account?☆11Updated 2 years ago
- Using various machine learning models to predict whether a company will go bankrupt☆26Updated 2 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 …☆132Updated 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…☆20Updated 2 years ago
- credit-risk-modeling☆23Updated 3 years ago