Deploying Machine Learning Models with Flask for Beginners

3.9 ★★★ ★ ★

Deploying Machine Learning Models with Flask for Beginners

Name: Deploying Machine Learning Models with Flask for Beginners
Rating: 3.9 (115 reviews)
Author: Packt Publishing

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

updated on icon Updated on Apr, 2024

language icon Language - English

person icon Packt Publishing

category icon Development,Data Science,Machine Learning

Lectures -15

Duration -2.5 hours

3.9 ★★★ ★ ★

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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.

Goals

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

Prerequisites

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

Curriculum

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

Deploying Machine Learning Models
15 Lectures

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

Instructor Details

Packt Publishing

Course Certificate

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