Prediction of Machine Learning vs. Artificial Neural Network for Classifying a Heart Fail Dataset

Abstract

We have A Three Dataset Heart Attack Analysis and Prediction and the other one is cardiovascular disease and the last one is Car price Prediction. We used These Dataset to make a machine Learning Algorithms and deep learning Model. The medical industry generates a tremendous quantity of data, known to as "big data," it includes hidden information or tendencies which can be used to make a decision. The large amount of data is used to make more accurate decisions than intuition. Exploratory Data Analysis (EDA) identifies errors, locates necessary data, confirms assumptions, and discovers the relationship between explanatory factors. In this context, EDA is defined as data analysis without conclusions or statistical modelling. Analytics is a crucial skill for each career since it predicts the future and discovers underlying patterns. In the recent past, data analytics was deemed a cost-effective technology, and it now plays a major role in healthcare, encompassing new study discoveries, emergency scenarios, and disease outbreaks. In healthcare, analytics improve healthcare by facilitating preventive care, and EDA is a key step in data. The risk factors for cardiovascular disease are discussed.