Heart Disease Prediction Model

Heart Disease Prediction Model This project is focused on building a machine learning model to predict the presence of heart disease based on various features like age, cholesterol level, blood pressure, BMI, and other health-related attributes.

Overview The goal of this project is to create a predictive model using a dataset that contains various health-related features. After training a machine learning model (such as RandomForestClassifier or other classifiers), the model can be used to predict the likelihood of heart disease based on new input data.