Introduction to Machine Learning - Online Workshop


For this hands-on workshop, we'll be using Python, Jupyter Notebooks and Machine Learning libraries to build our first predictive models.

Since data started eating the world after software devoured it, machine learning is powering up almost every product in almost every industry. ML is transforming how we think about solving problems, and the skill demand goes up year after year.

In this 1.5-hour workshop you will learn:

✔️ What is Machine Learning?
✔️ Who are the people building Machine Learning?
✔️ How to build ML models yourself!
✔️ What you can do going further

There are a million courses out there, how is this one worth attending?
All attendees get lifetime access to our learning platform, where you will find:

Lecture replay
Guided exercises to deepen your skills
Additional resources to keep growing

Is this workshop for me? Pretty good question! Last thing we want is to waste anyone’s time! We’ve crafted this workshop for you if:

  • You are considering a career switch to the data industry and want to know more about Machine Learning
  • You are curious about data science, machine learning and AI
  • You are a product manager / business analyst / digital marketer and want to know more about how data products work
  • You want to get started with data science and want to get a taste of what is possible before starting with the fundamentals

This is a workshop for beginners, although some comfort with programming basics and basic math will help you!

About Le Wagon Tokyo

Le Wagon Tokyo ( is a top ranked coding school for startups, creative people and tech entrepreneurs.
Our Web Development and Data Science bootcamps are designed for individuals who want to change their career, become freelancer, or launch their own venture!

Our next bootcamps will start:
‍♂️September 25th for our 24-week part-time Web Development and Data Science programs
‍♀️ October 4th for our 9-week full-time Web Development and Data Science programs

Applications are already open!
Checkout enrollment details, curriculum, Career Week support and more


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