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.

Based on available data from bank and parameters to identify the variables that influence the most, predict the bankruptcy of the given financial model

Exploration, analysis and application of machine learning models to predict companies' status

Use the classification model to predict whether a company is able to be bankrupted

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.

Corporate Bankruptcy Prediction

Application of Machine Learning models to predict Company Bankruptcy

A classification problem using SEC EDGAR annual and quarterly balance sheet filings to predict bankruptcy.

Final Year Project that is to be completed as part of the fulfillment of Computer Science Degree in NTU

In class Kaggle competition on predicting bankruptcy of a firm

This is a classification-based mini project

This is Mudit Vyas worked as ML Developer Intern , Team Leader in Technocolabs Software.This is Internship Project For Technocolabs Software.

Corporate Bankruptcy Prediction

Accurately predicting companies' future failure with Python.

This is an academic project on the Polish Company Bankruptcy Dataset, however we only used 1st year data as test data and 5th year as test data

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.

PROJECT OF STATISTICS FOR DATA SCIENCE