Binary Classification Web App

• Built a powerful web application using Streamlit to predict binary outcomes, allowing users to classify data points as belonging to one of two classes.
• The app leverages multiple machine learning classifiers, including Support Vector Machine (SVM), Logistic Regression, and Random Forest, to deliver accurate predictions on any given dataset.