Description:

This course covers the fundamentals of using Flask for Machine Learning applications. Learn how to create dynamic URLs, handle redirection, build URLs with Jinja, work with templates, implement forms and input validation, integrate databases, manage sessions and cookies, and deploy Machine Learning models using Flask.

Key Highlights:

• Flask basics for Machine Learning
• Dynamic URL handling
• Redirection in Flask
• Jinja for URL building
• Form creation and validation
• Database integration
• Sessions and cookies management
• ML model deployment with Flask

What you will learn:

• Learn Flask basics for ML
  Understand Flask framework and its usage in Machine Learning projects
• Implement dynamic URL handling
  Learn to create and manage dynamic URLs in Flask applications
• Build and handle URL redirection
  Master the art of URL redirection techniques in Flask
• Utilize Jinja for URL construction
  Explore Jinja templates for building dynamic URLs in Flask
• Create forms and validate inputs
  Implement form submissions and input validation in Flask applications
• Integrate databases into Flask apps
  Connect and work with databases for data storage in Flask projects
• Manage sessions and cookies
  Learn to handle user sessions and cookies in Flask applications
• Deploy Machine Learning models with Flask
  Understand the deployment process of ML models using Flask framework