Deploying Machine Learning Models with Flask for Beginners

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. The code bundle for this course is available at https://github.com/PacktPublishing/Deploying-Machine-Learning-Models-with-Flask-for-Beginners

What You Will Learn

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

Audience

This course is for developers who are looking to learn Flask. 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.

Approach

This course takes a hands-on approach where the author implements the code and explains why it is done.

Key Features

Create your own API endpoint for your machine learning models * Create a Flask application from scratch * Deploy your model on the web

Github Repo

https://github.com/PacktPublishing/Deploying-Machine-Learning-Models-with-Flask-for-Beginners

About the Author

Dan We

Daniel Weikert is a 33-year-old entrepreneur, data enthusiast, consultant, and trainer. He is a master's degree holder certified in Power BI, Tableau, Alteryx (Core and Advanced), and KNIME (L1-L3). He is currently working in the business intelligence field and helps companies and individuals obtain vital insights from their data to deliver long-term strategic growth and outpace their competitors. He has a passion for learning and teaching. He is committed to supporting other people by offering them educational services and helping them accomplish their goals, gain expertise in their profession, or explore new careers.

Course Outline

1. Deploying machine learning models with flask for beginners - quick and easy

2. BONUS SECTION How to deploy your ML Models to the web for free