Python project that uses TensorFlow to build and train a deep neural network model that predicts the risk of cardiovascular disease based on clinical variables. The project uses the dataset from Kaggle that contains information on age, gender, height, weight, blood pressure values, cholesterol levels, glucose levels, smoking habits and alcohol consumption of over 70 thousand individuals.
Based on: https://www.kaggle.com/datasets/thedevastator/exploring-risk-factors-for-cardiovascular-diseas