Project information
- Category: Machine Learning Model
- Type: Personal Project
- Project date: 07 April, 2023
Heart Disease Prediction project detail
The Heart Disease Prediction project employs Machine Learning techniques, specifically a Logistic Regression model, to predict whether an individual is healthy or has a heart defect based on various independent variables. These independent variables may include factors such as age, blood pressure, cholesterol levels, exercise habits, and other relevant medical data. Logistic Regression is chosen for its ability to classify individuals into distinct categories, making it suitable for binary classification tasks like predicting heart disease presence.