Course Content

This course will be available in August, but go ahead and sign up, it's free! This course will teach you to do the following:

  • Train a linear model with scikit-learn

  • Understand relationships in your data

  • Visualise data without writing code

  • Discover non-linear relationships in your data

  • Train non-linear models with scikit-learn

  • Evaluate your models

  • Detect overfitting in your models

  • Solve overfitting using Regularization

No Maths? No Problem!

This version of the course avoids going into the mathematics of Machine Learning by making use of scikit-learn to focus on using estimators. You will also make use of Tableau for visualisation.

Bonus material

Don't let all the python bug you down!

  • Tableau Visualizations

    Learn to visualize data using Tableau. We know you need to do a lot: clean data, visualize data, and train models. The less code you need to write, the better for your brain. That's why we are using Tableau for our visualizations.

  • Learning Evaluations

    Why do we want you to learn with us? Because we check your learning progress. This differentiates us from YouTube or other video-only training courses. We will assign tasks to you and check your answers.

  • Downloadable Documents

    You will get access to visualization notebooks and Jupyter notebooks so you can use our starters as well as check your final solutions.

What are you waiting for?

Sign up for the course, it's free