data analytics machine learning project

This educational content explores stroke risk modeling through a structured overview. It begins with defining project goals and methodologies, followed by analyzing data and visualizing class distributions. Core mathematical concepts such as logistic regression and regularization are explained, alongside optimization techniques and parameter tuning strategies. The findings highlight performance metrics, summarizing insights and potential future directions for enhancing predictive models.