riya-joshi-401 / ML-IA2-Heart-Disease-Prediction

Heart disease prediction using supervised machine learning algorithms

machine-learning supervised-learning svm-classifier logistic-regression naive-bayes-classifier decision-trees random-forest knn xgboost hyperparameter-optimization evaluation-metrics

ML-IA2---Heart-Disease-Prediction

Group Members

1814028 , Riya Joshi
1814029 , Darshan Kalwani
1814030 , Sagar Kamat

Screencast videos : https://drive.google.com/drive/folders/108MGBmjbPAsMDh6tvmxqwZKMoigoqkIq

We have first performed EDA on our dataset and drew various insights from it

Then we did some pre-processing our dataset

After that we implemented 7 supervised machine learning algorithms

We also did hyper-parameter tuning to further increase the accuracy

We evaluated their performance on the basis of various metrics and compared the overall performance of the algorithms

Overall evaluation of the models

About

Heart disease prediction using supervised machine learning algorithms

machine-learning supervised-learning svm-classifier logistic-regression naive-bayes-classifier decision-trees random-forest knn xgboost hyperparameter-optimization evaluation-metrics

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