Udemy

Deploying machine learning models with flask for beginners

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  • 641 Students
  • Updated 5/2023
4.3
(144 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
2 Hour(s) 31 Minute(s)
Language
English
Taught by
Dan We
Rating
4.3
(144 Ratings)
2 views

Course Overview

Deploying machine learning models with flask for beginners

How to deploy a machine learning model. How to create an API for machine learning. #machinelearning, #datascience

About this course

Let's dive into data science with python and learn how we can create our own API (Application Programming Interface) where we can send data to and let our model return a prediction.

This course is a practical hands on course where we learn to deploy our trained machine learning models aka neural networks with the flask web framework.

This is a beginners class. You don't need any pre-knowlege about flask but you should know about neural networks and python. We will learn and code step by step together and I will explain what we do along the way.

Besides machine learning apis we will also use transferlearning to use an advanced neural network and use a userfriendly HTML template to give the enduser a visual appealing interface for our application. The user can upload an image and our model will return an image classification prediction

All the resources will be provided and you can download all the used tools completely for free.

Sounds interesting? I hope so! Let's dive in and do this together. Let's acquire new skills and create new opportunities for us.


In General

Why datascience and machine learning? Well...

In the world of today and especially tomorrow machine learning and artificial intelligence will be the driving force of the economy. Data science  No matter who you are, an entrepreneur or an employee, and in which industry you are working in, machine learning (especially deep learning neural networks) will be on your agenda.


from me personal:

"From my personal experience I can tell you that companies will actively searching for you if you aquire some skills in the data science field. Diving into this topic can not only immensly improve your career opportunities but also your job satisfaction!"

It's time to get your hands dirty and dive into one of the hottest topics on this planet.

Course Content

  • 2 section(s)
  • 18 lecture(s)
  • Section 1 Deploying machine learning models with flask for beginners - quick and easy
  • Section 2 BONUS SECTION How to deploy your ML Models to the web for free

What You’ll Learn

  • You can create your own API endpoint for your machine learning models
  • You learn how to use flask
  • You know how to quickly deploy a userfriendly html page to make image classification predictions
  • You use transfer learning
  • You train your knowlege about keras
  • You will train your data science skills

Reviews

  • M
    Manikandan Maruthiah
    3.0

    The Flask implementation has model, but need bit more information on feature engineering and how to handle that while new data is predicted

  • M
    Matthew Hartman
    2.5

    UPDATE: I've just completed the course and I found the second half of the course to be slightly better than the first half of the course. However, I think this course would be better titled something to the affect of "Flask ML Model Deployment Quickstart" as it's more of code along to deploy two simple ML models via Flask with very brief explanations of the code as you code along and nothing more. It's certainly not a pointless endeavor as there is some value in that. However, there are far better Flask courses on Udemy at the same or a similar price point. For this reason, I would not recommend this course. I'm giving it 2.5 stars because I did learn something, although I feel that it didn't have enough focus on Flask. In fact, hardly any explanation of Flask at all. You definitely cannot expect to deploy your own ML models with Flask after taking this course alone, which is kind of the standard for any paid Udemy course, IMHO. ORIGINAL REVIEW: I'm about halfway through the course and so far it's okay. Some issues I have with the course thus far is that the instructor doesn't use proper coding conventions, and the code itself could be better. I'm still giving it 3.5 stars because this course isn't meant for Python beginners per the course requirements, and therefore students shouldn't be setback by the code quality. I'm reserving my final review and potential recommendation for this course until I have completed it, where I'll update this review.

  • C
    Catherine Ata
    5.0

    Overall, my objective of purchasing this course was met. And I get to enjoy the engaging videos in this course! Thank you and keep up the great work!

  • V
    Vikash Das
    3.0

    Course was very good, it provided a basic understanding of deploying ML model with Flask. I felt more conceptual explanation could have been provided.

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