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A heart disease dataset is analyzed on python using different classification methods. The main objective is to predict the heart disease using different features such as cholestrol level, age, blood presurre etc.

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Taimoormukhtar/Heart-Disease-Classification

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Heart Disease Classification

This project focuses on classifying the heart disease using ML algorithms like:

⦿ Logistic regression

⦿ Decision Tree Classifier

⦿ Random Forest

Steps

  • Exploratory data analysis

  • Implementation of ML models using all features

  • Feature Selection

  • Implementation of ML models using Selected features

  • Comparative analysis of models using ROC curves

Data Source

Data source is available at Kaggle: https://www.kaggle.com/datasets/johnsmith88/heart-disease-dataset

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A heart disease dataset is analyzed on python using different classification methods. The main objective is to predict the heart disease using different features such as cholestrol level, age, blood presurre etc.

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