Abstract: The modern world, dynamic planning and accurate forecasting for dynamic datasets are essential for the practice of financial management. Often models used in traditional problems are not ...

Credit Risk Modeling A machine learning project for predicting customer credit risk using the German Credit dataset. The project includes exploratory data analysis, preprocessing, model comparison, ...

About A Machine Learning project to predict student pass or fail status using Logistic Regression, Decision Tree, and Random Forest with data preprocessing, 3-Fold Cross Validation, Hyperparameter ...

OpenAI trained GPT-Red, an internal-only attacker model, using self-play reinforcement learning against a population of defender LLMs. It beat human red-teamers 84% to 13% on a replicated indirect ...

Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...