Mining the Polish Bankruptcy Data
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Updated
Dec 24, 2020 - Jupyter Notebook
Mining the Polish Bankruptcy Data
Using various machine learning models to predict whether a company will go bankrupt
Our project aims to utilize machine learning techniques for bankruptcy prediction, leveraging data analysis and predictive models to forecast the likelihood of a company experiencing financial insolvency.
Comprehensive financial risk analysis toolkit with Altman Z-Score bankruptcy prediction, Value at Risk (VaR) calculations, and historical crisis stress testing. Supports US & European markets with automated company classification.
Based on available data from bank and parameters to identify the variables that influence the most, predict the bankruptcy of the given financial model
Final Year Project that is to be completed as part of the fulfillment of Computer Science Degree in NTU
A smart system with a goal of predicting whether a company will go bankrupt in a certain number of years by leveraging the financial historical data of the Polish companies' bankruptcy dataset.
Application of Machine Learning models to predict Company Bankruptcy
Use the classification model to predict whether a company is able to be bankrupted
Exploration, analysis and application of machine learning models to predict companies' status
A classification problem using SEC EDGAR annual and quarterly balance sheet filings to predict bankruptcy.
In class Kaggle competition on predicting bankruptcy of a firm
This is a classification-based mini project
Predicción banca rota de empresas con integración de agentes IA en página web.
Replication files for "Bottom-Up Leading Macroeconomic Indicators: An Application to Non-Financial Corporate Defaults Using Machine Learning" by Tyler Pike, Horacio Sapriza, and Tom Zimmermann.
This is Mudit Vyas worked as ML Developer Intern , Team Leader in Technocolabs Software.This is Internship Project For Technocolabs Software.
Corporate Bankruptcy Prediction
Econometric analysis of bankruptcy prediction across Polish, Taiwan, and American datasets
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