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.
There was an error while loading. Please reload this page. Credit Card Fraud Detection using Python, featuring data cleaning, feature engineering, SMOTE balancing ...
Abstract: Class-imbalance problems have become a key challenge in machine learning, often results in training too many majority samples and learning too few minority samples. The Synthetic Minority ...
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