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Class time and plan

Live Mentor

Small Group

Hands-On Learning

“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.

Learn Machine Learning with a Live Mentor, Not with Video Tutorials

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

THU 17 NOV 6:00 PM (GMT-8)
Other times?

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.


CAUTION:Due to the Thanksgiving weekend, the second session will be on December 1.

Lesson 2

THU 01 DEC 6:00 PM (GMT-8)

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

THU 08 DEC 6:00 PM (GMT-8)


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

Lesson 4

THU 15 DEC 6:00 PM (GMT-8)

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

8 Hours of Live Classes

The weekly live group lecture is the core of the class. The mentor will teach the curriculum live and students can ask questions directly.

Hands-on Exercises

You'll get the chance to code live via hands-on exercises. All students will work on the exercises together and get instant feedback from the mentor via screen-sharing.

Unlimited Lesson Playbacks

Had to miss a class? Fear not. All lessons are recorded and you can review the recordings in the future.

Frequently Asked Questions

How is this different from other courses?

For only $99, you’ll get to learn Python live with a real online mentor. This includes 8 hours of live classes with instant feedback and hands-on exercises. Having live interaction with a mentor makes learning much easier than watching recorded video tutorials.

What is the class structure?

We have 1 live session per week for 4 weeks. Each session is 2 hours long, and will include live lectures, hands-on exercises, and Q&A. You will get to code together with the instructor and other members of the class!

What time are the live classes?

The live classes will be held online at 6PM PST (GMT-8) / 9PM EST (GMT-5) on Thursdays starting from Nov 17.

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.

What if I miss a class?

All classes will be recorded and you‘ll have access to the recordings at any time. You can also ask questions in our Slack channel and get help from other members of the community.

What is a Delayed Live Class?

Delayed Live Class is for those who couldn't make it for the live sessions. With Delayed Live Classes, you'll be able to watch recordings uploaded within 24 hours after each session, and have access to our Slack community to ask questions and discuss with your peers and the instructor.

Class Starts Nov 17

Money-Back Guarantee
If you feel this isn‘t a good fit after the first class, we‘ll give you a full refund.

limited-time only
Reserve Your Seat Now
This is an intermediate Python class for Machine Learning, starting at 6PM PST / 9PM EST, Nov 17.


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