Stroke Prediction using 3 Classification Models(LR, RF and XGBoost)
==> Basic EDA
==> Feature Scaling
==> Data balancing using SMOTE
==> GridSearchCV for hyperparameter tuning of models
==> Final result - XGBClassifier -> accuracy = 96.17% & recall = 0.96