Machine Learning Web Applications - Advanced (Udemy.com)

Learn the One Skill That Will Put You Ahead of Most - Real Applied Data Science!

( 1 Reviews )

Created by: Manuel Amunategui

Produced in 2021

What you will learn

Learn how to extend machine learning into rich and complex web applications
Learn how to extend Flask with Machine Learning
Learn how to create rich UI to interact with complex machine learning algorithms
Learn how to create and use Rest APIs
Learn to use cloud providers: Google Cloud and PythonAnywhere

Quality Score

Content Quality

Video Quality

Qualified Instructor

Course Pace

Course Depth & Coverage

Overall Score : 100 / 100

Course Description

In this class, we will take machine learning concepts and models and extend them into fully interactive web applications for the world to enjoy. No more do they need to know statistics, python, linear regression or Tableau to enjoy your work. Anybody with an Internet connection should be able to interact with your research, findings and intelligence using typical and ubiquitous web controls.
We will work on 4 case-studies. We will start with a linear regression to predict life expectancy. We will extend it into an interactive web application to query how many more years you have to live (yikes). We will create a wine designer using GBM. We will create an HTML5 canvas control to draw digits and use a Tensorflow model to predict them. Finally we will predict the stock market using XGBoost and feed the results through a REST API control.
Two of the case studies will be deployed onto cloud providers: Google Cloud and PythonAnywhere
This class will teach you one of the most important skills a data scientist needs to learn today. Most data scientists know how to load and transform data, they also know how to run linear regressions but few know how to work with clients and deliver ML tools they can use. This skill will boost your career and make you a fully balanced, self-sufficient ML tool creator that can handle any stage of the delivery pipeline. Are you ready?

Who this course is for:

Students wanting to take their machine learning ideas to the next level and into the hands of Internet users
Extending machine learning into interactive web applications

Time: 3.5h

Instructor Details

Manuel Amunategui

5.0 Rating
1 Reviews

I am data scientist in the healthcare industry. I have been applying machine learning and predictive analytics to better patients lives for the past 3 years. Prior to that I was a developer on a trading desk on Wall Street for 6 years. On the personal side, I love data science competitions and hackathons - people often ask me how can one break into this field, to which I reply: 'join an online competition!'