Heart Attack Prediction System
The project is based on machine learning and is used too predict the heart Attacks. The project implements machine learning algoritms and ensemble classification techniques
Created on 21st March 2021
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Heart Attack Prediction System
The project is based on machine learning and is used too predict the heart Attacks. The project implements machine learning algoritms and ensemble classification techniques
The problem Heart Attack Prediction System solves
The the system predicts the heart diseases by giving us the information about the prediction of the heart attack in the patients. The system is trained using 4 machine learning algorithms namely Logistic Regression, Decision Tree, Random Forest and Multinomial Naive Bayes .The project further classifies the accuracy algorithm and also compares them and gives the best accuracy algorithm. Further the project also implements ensemble classifiers. In that two techniques are used namely bagging and boosting
Challenges we ran into
We faced issues while selecting algorithms for the problem statement.We referred various sources online and offline to get our hands on the solutions and we used the internet resources for referring the workings and syntax of the algorithms
Technologies used