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Streamlit for Machine Learning - Full Course

James Briggs via YouTube

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Learn to build machine learning applications using Streamlit through this comprehensive video tutorial series covering installation, API integration, model deployment, performance optimization with caching, Bootstrap component integration, and custom React component development including setup, MUI card component creation, and publishing components to pip for reusable ML app interfaces.

Syllabus

Streamlit for ML #1 - Installation and API
Streamlit for ML #2 - ML Models and APIs
Streamlit for ML #3 - Make Apps Fast with Caching
Streamlit for ML #4 - Adding Bootstrap Components
Streamlit for ML #5.1 - Custom React Components in Streamlit Setup
Streamlit for ML #5.2 - MUI Card Component Build
Streamlit for ML #5.3 - Publishing Components to Pip

Taught by

James Briggs

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