Machine-learning-based-gender-classification

Overview

This project applies multiple machine learning algorithms to predict heart failure outcomes.

Models Used

• Logistic Regression
• Decision Tree
• Random Forest
• SVM
• KNN

Techniques

• Data preprocessing
• Feature scaling
• Model evaluation
• ROC-AUC analysis
• Accuracy comparison