Narendra S Chavan

Built and deployed an interactive Logistic Regression web app using Streamlit that provides real time binary predictions based on user inputs, performed full ML pipeline from preprocessing to deployment. Applied data preprocessing , feature scaling and evaluation metrices to optimize the performance of the model. Serialized and served trained model with pickle for scalable web inference.