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This project involves the analysis and prediction of heart disease using a dataset sourced from Kaggle. Multiple machine learning algorithms are implemented and compared to determine which model provides the highest accuracy for predicting heart disease.

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HeartDisease-Prediction

The dataset is from Kaggle- https://www.kaggle.com/datasets/johnsmith88/heart-disease-dataset

I have used different Machine learning algorithims -

1.Linear Regression

2.KNN

3.SVM

4.Naive Bayes

5.Decision Tree

on the dataset to predict which provides us a better accuracy.

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This project involves the analysis and prediction of heart disease using a dataset sourced from Kaggle. Multiple machine learning algorithms are implemented and compared to determine which model provides the highest accuracy for predicting heart disease.

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