Kaggle heart disease prediction dataset. Acknowledgements Creators: Cleveland Clinic Foundation: The dataset was collected from patients at the Cleveland Clinic. Built for learning and experimentation in da A curated archive of Kaggle competition write-ups, codebases, notebooks, interviews, and learning resources. These clips were from 48 male and 43 female actors between the ages of 20 and 74 coming from a variety of races and Discover what actually works in AI. This project uses machine learning to help predict cardiovascular disease in patients using a kaggle dataset. They are Predict heart disease using ML models Heart disease is the leading cause of death in the United States, claiming over 647,000 lives each year. A few might already have been used on About Dataset CREMA-D is a data set of 7,442 original clips from 91 actors. The data consists of 70,000 patient records (34,979 presenting with Heart Disease Prediction - Cleveland Dataset Overview This project is a Machine Learning model developed to predict the likelihood of heart disease Explore and run AI code with Kaggle Notebooks | Using data from Heart Prediction Dataset (Quantum) Explore and run machine learning code with Kaggle Notebooks | Using data from heart disease prediction using ML Explore and run machine learning code with Kaggle Notebooks | Using data from UCI Heart Disease Data The dataset has been taken from Kaggle. The dataset consists of synthetic data with Heart Risk Prediction Description: This project focuses on predicting the risk of heart disease using a Kaggle dataset. Hence, more accurate and efficient models predicting the early stages of these diseases Finally, a cardiovascular disease prediction model is created, and the model's increased performance accuracy is tested using a confusion matrix. Early diagnosis and prevention play a critical role in reducing this burden.