SayamAlt/Company-Bankruptcy-Prediction
Successfully developed a machine learning model which can accurately predict whether a firm will become bankrupt or not, depending on various features such as net value growth rate, borrowing dependency, cash/total assets, etc.
This project helps financial analysts and risk managers predict if a company is likely to go bankrupt. By inputting various financial indicators such as cash flow, debt ratios, and profitability, it outputs a clear prediction of bankruptcy. It's designed for professionals assessing company stability and credit risk.
No commits in the last 6 months.
Use this if you need to quickly assess the bankruptcy risk of companies based on their financial statements.
Not ideal if you need a real-time, high-frequency trading signal or a tool that incorporates qualitative market factors.
Stars
8
Forks
—
Language
Jupyter Notebook
License
—
Category
Last pushed
Oct 22, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/SayamAlt/Company-Bankruptcy-Prediction"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
xRiskLab/xBooster
Explainable Boosted Scoring with Python: turning XGBoost, LightGBM, and CatBoost into...
ing-bank/skorecard
scikit-learn compatible tools for building credit risk acceptance models
minerva-ml/open-solution-home-credit
Open solution to the Home Credit Default Risk challenge :house_with_garden:
semasuka/Credit-card-approval-prediction-classification
Credit risk analysis for credit card applicants
ParthS007/Loan-Approval-Prediction
Loan Application Data Analysis