A production-grade, full-stack machine learning platform combining a powerful FastAPI backend with an intuitive Streamlit frontend. Upload CSV data, train 12+ ML models, compare results, and visualize predictions—all through an interactive web interface or REST API.
In this repository different AI/ML algorithms are implemented by using PyTorch framework for learning purpose.
An interactive machine learning playground featuring hands-on experiments, model implementations. It is designed to help learners explore, visualize, and understand machine learning algorithms through examples without writing a line of code.
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