Heart disease remains one of the leading causes of mortality globally. new diagnosis gets importantly better endurance rates and cuts discourse costs. In the research, we explore Machine learning techniques to predict heart disease based on clinical Information. exploitation associate in nursing open-source dataset we apply and value respective sorting Procedures, including logistical regression, decision trees, support vector machines (SVM). Our results demonstrate that machine learning can effectively identify potential heart disease cases, providing a promising tool for healthcare Uses.