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

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

Corporate Bankruptcy Prediction

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

No description provided.

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

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.

Predicción banca rota de empresas con integración de agentes IA en página web.

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.

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

Classification model for Taiwanese companies bankruptcy, written in Jupyter Notebook using R.

R: Bankruptcy prediction - Polish and Slovak companies

Debt Insolvency Income Prediction using Data Science

ML-powered bankruptcy prediction with feature tuning and model ( Decision Tree, Random Forest & Gradient Boosting ) evaluation.

Accurately predicting companies' future failure with Python.

Bankruptcy Prediction: A machine learning project using Python. Skills applied include Time Series Analysis, Data Visualization (Matplotlib), and Machine Learning (Classification, Linear Regression).

No description provided.

Project of statistical methods for data science

Project of a coursework - Multivariate Analysis (M.Stat Semester 2) under the supervision of Prof. Swagata Nandi. (Project Group : Adrija Saha, Shrayan Roy, Sampurna Mondal)

Machine Learning Projects for Finance-related use cases

PROJECT OF STATISTICS FOR DATA SCIENCE