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This project is an end-to-end machine learning solution to predict student performance using key features like study time and test scores. It includes exploratory data analysis, model training, and a Flask-based web app for real-time predictions, all built with modular programming for clean and maintainable code.
Applied numerous algorithm models to solve a binary classification problem of predicting if any given prospective customer converts to a sale, through the company’s online sales channel.
This is our second project at neuefische DS Bootcamp. Silas Mederer and me implied different ML models and documented the EDA and our business understanding of the Lending Club.