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Machine Learning Model Deployment with Streamlit

Overview

Skills Needed

Discover how to deploy machine learning models with Streamlit. Explore model visualization, prediction APIs, and deployment considerations.

  • Proficiency in Python programming
  • Familiarity with machine learning concepts

Outline

  • Introduction to Model Deployment
  • Preparing Machine Learning Models for Deployment
  • Model Visualization Techniques
  • Building Prediction APIs with Streamlit
  • Integrating Models into Streamlit Apps
  • Deployment Considerations and Challenges
  • Scaling Streamlit Apps for Production
  • Monitoring and Logging in Deployment
  • Continuous Integration/Continuous Deployment (CI/CD)
  • Best Practices for Model Deployment with Streamlit

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