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ankushmallick1100 / Heart-disease-prediction-using-maching-learning

This is a machine learning project that uses various machine learning alogorithms to predict whether a patient is suffering from heart disease or not. Here I am using variour machine learning algorithms like Random Forest classifier, XGBClassifier, GaussianNB, Decision Tree Classifier, K-Nearest Neighbours and Logistic Regression.

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gaussianjupyterknearest-neighbor-classifierlogistic-regressionmachine-learningmachine-learning-algorithmsmachine-learning-modelsmachinelearningnaive-bayes-classifiernumpypythonrandom-forestxgboost-classifierdecision-tree-classifierheartheartdiseaseheartdisease-prediction

Heart disease prediction using maching learning

Description

This is a machine learning project that uses various machine learning alogorithms to predict whether a patient is suffering from heart disease or not. Here I am using variour machine learning algorithms like Random Forest classifier, XGBClassifier, GaussianNB, Decision Tree Classifier, K-Nearest Neighbours and Logistic Regression.

Random Forest Classifier gives the best accuracy

Dataset

Dataset is present in Kaggle
Link: https://www.kaggle.com/datasets/alexteboul/heart-disease-health-indicators-dataset

About

This is a machine learning project that uses various machine learning alogorithms to predict whether a patient is suffering from heart disease or not. Here I am using variour machine learning algorithms like Random Forest classifier, XGBClassifier, GaussianNB, Decision Tree Classifier, K-Nearest Neighbours and Logistic Regression.

gaussianjupyterknearest-neighbor-classifierlogistic-regressionmachine-learningmachine-learning-algorithmsmachine-learning-modelsmachinelearningnaive-bayes-classifiernumpypythonrandom-forestxgboost-classifierdecision-tree-classifierheartheartdiseaseheartdisease-prediction

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Language:Jupyter Notebook 100.0%