Deploying Machine Learning Models with Flask for Beginners

person icon Packt Publishing

Deploying Machine Learning Models with Flask for Beginners

Create APIs for machine learning with Flask and deploy your application to the web

updated on icon Updated on Sep, 2023

language icon Language - English

person icon Packt Publishing

architecture icon Development,Data Science,Machine Learning


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Course Description

Flask is a web application framework used to develop web applications. Getting started with Flask is easy, and its power lies in its ability to scale up to complex applications. In this course, you’ll learn the most effective ways to use Flask in order to create your own web application.

You’ll begin with an introduction to Flask and quickly dive into defining and training your model. You’ll perform various actions on this model to train it and ensure that it is of the best quality for your application. You’ll also create and test API endpoints so you can predict the model’s behavior over time.

By the end of this course, you’ll have the confidence to deploy this application to the web and learn how to fix any errors that may arise during this process.


What will you learn in this course:

  • Define and train your model
  • Test the model availability and make predictions
  • Create a Flask endpoint and perform quality checks
  • Use image classification in your Flask application
  • Predict images on the Flask application
  • Deploy your machine learning model to the web


What are the prerequisites for this course?

  • A basic understanding of Python is preferred here as this will help you grasp the Flask concepts easier. You also need to have a functioning knowledge of machine learning and neural networks.
Deploying Machine Learning Models with Flask for Beginners


Check out the detailed breakdown of what’s inside the course

Deploying Machine Learning Models
15 Lectures
  • play icon Hello and Welcome to the Course 01:32 01:32
  • play icon Introduction to Flask 08:12 08:12
  • play icon Defining and Training the Model 23:55 23:55
  • play icon Evaluating and Saving the Trained Model 05:54 05:54
  • play icon Testing the Model Availability and Making a First Prediction 07:01 07:01
  • play icon Defining the Boundaries of Your Input Data 03:00 03:00
  • play icon Creating Our Flask Application 05:57 05:57
  • play icon Creating the Flask Endpoint and Ensuring Data Quality Checks 17:15 17:15
  • play icon Testing Our API Endpoint 14:38 14:38
  • play icon Introduction to Image Classification 10:06 10:06
  • play icon Flask Application - an Endpoint for Your Image Classification API 19:11 19:11
  • play icon The HTML Template Explained 06:41 06:41
  • play icon Predicting Images on Your Hosted Flask Web Application 03:09 03:09
  • play icon Congratulations and Final Words of Wisdom 00:48 00:48
  • play icon Deploying Your Model on the Internet for Free 23:17 23:17

Instructor Details

Packt Publishing

Packt Publishing

Founded in 2004 in Birmingham, UK, Packt's mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals.

Working towards that vision, we have published over 6,500 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done - whether that's specific learning on an emerging technology or optimizing key skills in more established tools.

As part of our mission, we have also awarded over $1,000,000 through our Open Source Project Royalty scheme, helping numerous projects become household names along the way.

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