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.

This project explores the issue of customer churn in the advertising industry, particularly focusing on the challenges of dealing with imbalanced data. The analysis includes Logistic Regression as the ...

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 ...

Abstract: Anemia is a widespread worldwide health problem that has a substantial effect on groups who are particularly susceptible. The objective of this work is to improve the diagnosis of anemia by ...