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It's Your Data, Master It.
Building Machine Learning Apps with Streamlit
Overview
Skills Needed
Explore techniques for integrating machine learning models into Streamlit apps and deploying them for use by end-users.
Basic understanding of machine learning concepts
Familiarity with Python programming
Outline
Introduction to ML Apps with Streamlit
Integrating ML Models with Streamlit
Building Model Input Forms
Visualizing Model Predictions
Handling Model Outputs
Model Performance Monitoring
Deploying ML Apps with Streamlit Sharing
Scaling ML Apps for Production
Building ML Pipelines
Best Practices for ML App Development with Streamlit
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