Machine learning with Python: live online course

Week by week

What the learner works on

1. Weeks 1–3
   Python for data

   NumPy and pandas refresher.

2. Weeks 4–6
   Preparing data

   Cleaning, encoding and splitting train and test sets.

3. Weeks 7–8
   Regression

   Fitting lines and checking how good the fit is.

4. Weeks 9–10
   Classification

   Logistic regression, trees and nearest neighbours.

5. Weeks 11–12
   Evaluating models

   Accuracy, precision, recall and overfitting.

6. Weeks 13–14
   Ensembles

   Random forests and boosting.

7. Weeks 15–16
   Clustering and dimension reduction

   Finding structure without labels.

8. Weeks 17–18
   Neural networks

   A first network, trained and tested.

9. Weeks 19–20
   Project

   Frame a problem, build a model and explain the result honestly.

The order and pace change to suit the learner, and the teacher adjusts after every few classes. Topics follow the learner's board or level.

Who it is for

Is this course right?

Learners comfortable with Python and school-level algebra who want to understand how models work, not just call a library.

Not sure about the level? Send a message and the teacher will ask a few questions and suggest where to start. For related pages, see AI and machine learning for kids.

How classes run

Before the first class

Each class mixes a quick recap, a new idea taught live, guided practice and a few questions to take away. Join ten minutes early for a sound and camera check, and use a laptop or desktop if the class needs screen sharing. Read what to expect in your first online class.

Price

What Machine learning with Python costs

Advanced level. Courses of 40 or more classes already cost 12 percent less per class. Prices are per learner. We confirm the amount, payment options and refund terms in writing before you pay anything. See how prices work.

Free practice

Try before you decide

• AI lessons
• Probability and statistics lessons