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Feature Description
Data Preprocessing: to clean and prepare the data. Feature Engineering: to create features for the models. Model Training: to train the ANN on the prepared data. Model Evaluation: to evaluate the performance of the trained model. Prediction: to make predictions on new data.
Use Case
Bankruptcy prediction is critical for stakeholders such as investors, creditors, and regulatory authorities. By leveraging historical financial data, this project employs ANN to forecast the likelihood of a company going bankrupt.
Benefits
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Add ScreenShots
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Priority
High
Record