Cardiovascular diseases (CVDs) remain one of the leading causes of death worldwide, emphasizing the need for early detection and prediction to improve patient outcomes. This paper explores the application of machine learning (ML) models in predicting cardiovascular conditions, focusing on the development of innovative,