Stock Prediction via Machine Learning and Factor Analysis Abstract: Since the application of quantitative strategy in the process of stock selection, many researchers in securities institutions or ...

This project focuses on optimizing stock portfolios using various financial theories and machine learning models. It includes modules for factor analysis, mean-variance optimization, machine learning ...

Healthcare professionals can monitor the mother's heartbeat during pregnancy to determine fetal viability using CTGs to prevent these deaths. To reduce child and maternal mortality, this work ...

Next, multiple machine learning classification models were built during AutoML processing, with the most accurate models ultimately selected for further data set analysis. Results: Itching development ...

Subgroup analysis revealed that the accuracy of machine learning in predicting the time of stroke onset within 4.5 hours was optimal (training: 0.80, 95% CI 0.77-0.83; validation: 0.79, 95% CI ...

JupyterLab provides a robust platform for machine learning and data analysis, combining the flexibility of an interactive notebook with the power of Python libraries. Whether you're building simple ...

Machine learning, a field of artificial intelligence (AI), is the idea that a computer program can adapt to new data independently of human action.