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
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.
Debt Insolvency Income Prediction using Data Science
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
A classification problem using SEC EDGAR annual and quarterly balance sheet filings to predict bankruptcy.
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
This is Mudit Vyas worked as ML Developer Intern , Team Leader in Technocolabs Software.This is Internship Project For Technocolabs Software.
PROJECT OF STATISTICS FOR DATA SCIENCE
Machine Learning Projects for Finance-related use cases
Corporate Bankruptcy Prediction
Use the classification model to predict whether a company is able to be bankrupted
Application of Machine Learning models to predict Company Bankruptcy
Accurately predicting companies' future failure with Python.
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)
This project aims to determine the likelihood of a company facing bankruptcy, a crucial aspect of financial analysis and investment decision-making.
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