GitHub - datasciencegeek1/Coronary-heart-disease-prediction-using-various-ML-algorithms: Analysed the performance of different Machine Learning algorithms on Coronary heart disease dataset acquired from Kaggle. Performed EDA, Data cleansing, data pre processing and feature correlation, feature selection. Implemented Logistic regression with 10 fold cross validation, Logistic regression with GridSearchCV, Random Forest, RNN and MLP

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Analysed the performance of different Machine Learning algorithms on Coronary heart disease dataset acquired from Kaggle. Performed EDA, Data cleansing, data pre processing and feature correlation, feature selection. Implemented Logistic regression with 10 fold cross validation, Logistic regression with GridSearchCV, Random Forest, RNN and MLP