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Class time and plan

“I'll show you how to use machine-learning to tackle real-world predictive analyses. We'll start with industrial-strength data sets. We'll break them down and understand them. We'll see what commercially valuable models we can extract.”

Peter Figliozzi, Ph. D.

Pete is a professional data scientist. He has used machine-learning algorithms to create predictive engines in variety of fields including marketing, mechanical prognostics and health management, and algorithmic stock trading. Pete enjoys Codementoring and the great interaction and learning that comes with it. Pete's degree is in Physics from the University of Texas, Austin.

Codementor Online Machine Learning Class - Schedule Your Own Classes!

Who is this class for?

This class is for anyone who wants to learn how to apply machine-learning to real-world (commercial) problems. All you'll need is a basic, working knowledge of Python. No machine-learning experience is required.

What will you learn?

By the end of the class, you'll be able to: analyze a real-world, industrial-strength data set; explore that data set; formulate a commercially viable predictive question; and apply machine-learning algorithms to create a predictive engine.




Codementor Machine Learning Class: Syllabus

Lesson 1

College Degrees

We'll use the U.S. Department of Education College Scorecard data set to predict what schools and degrees are worth the money.  We'll explore several different types of clustering.

Lesson 2

Public Opinion

Using a full month of Reddit comments, we'll use some natural language processing (NLP) techniques to see what the public thinks about different topics.

Lesson 3

Loans

We'll use data from an online lender to build a prediction engine for default/late-payment risk.

Lesson 4

Online advertising

We'll explore Bayesian statistical models and predictions.  We'll use online click/click-through data to build a click-through rate (CTR) prediction engine.



You Will Get

Learn ML at Your Pace

Need to pause and think through a concept before moving forward? Go through the classes at your own pace and learn to apply Machine Learning to your life!

Hands-on Exercises

Get practical coding experience through hands-on projects.

Unlimited Lesson Playbacks

Didn't get the concept fully the first time? You can watch and review all prerecorded classes as many time as you'd like, whenever you'd like.

Frequently Asked Questions

How is this different from other courses?

For only $69, you’ll get to learn Python for Machine Learning with your own schedule. This includes 8 hours of prercorded classes with hands-on exercises to test your learning. Enroll to this class and schedule your own class time. Make your learning much easier by doing it at your pace.

What is the class structure?

You will have access to 4 prerecorded classes, which will be available at once upon your enrollment. Each prerecorded class is around 2 hour long. You will get to code along the recordings at your own pace and able to check back on them whenever you like!

What time are the classes?

The prerecorded classes will be released upon your enrollment and will be available indefinitely. You can schedule your time the way you like and even go back to review ALL 4 classes any time!

What do I need to know before the class?

This class is for anyone who wants to learn how to apply machine-learning to real-world (commercial) problems. All you'll need is a basic, working knowledge of Python. No machine-learning experience is required.

Class Enrollment Starts Now

This is a intermediate Python prerecorded class for Machine Learning.
The videos will be available upon sign up.
Marc

Questions? We're here to help!

Have questions about this live class or Codementor in general? Our team is here to help!

Class time and plan