Debt Insolvency Income Prediction using Data Science

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.

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

Corporate Bankruptcy Prediction

Corporate Bankruptcy Prediction

Company Bankruptcy Prediction with Naïve Bayes Algorithm

In class Kaggle competition on predicting bankruptcy of a firm

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

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

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.

Mining the Polish Bankruptcy Data

Bankruptcy Prediction project, exploring sampling and imputation techniques, aimed at improving recall, for MTL782 (Data Mining) course offered in Spring 2021

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

Project of statistical methods for data science

Project of "Statistical Method" subject regarding business failure in the italian economic framework

This is a classification-based mini project

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

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