This repository showcases my work on understanding and applying various optimizers for deep learning, handling imbalanced datasets using SMOTE, and building a deep neural network classification model.
"Model_Bag_Smote = BaggingClassifier(base_estimator=RandomForestClassifier(n_estimators=50,random_state=1,max_depth=4,min_samples_leaf=15,\n", " min_samples_split=45 ...
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