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Groundwork

Practical Machine Learning

Build, evaluate and explain models without the hype.

Level
Advanced
Duration
1 h 53 min · 8 lessons
Language
English
Updated
September 2026
byTomás Albrecht
Monitor with code and a pair of glasses in front of itPreviewWhat are we predicting, and why?
$119Buy course Watch a free preview
  • 8 video lessons
  • 1 h 53 min of video, at your own pace
  • Progress saved across your devices
  • 14-day refund policy (details)

01What you will learn

What you will learn

  • Frame a business question as a prediction task
  • Build a baseline before reaching for complexity
  • Evaluate with the right metric and a proper split
  • Explain feature influence to non-specialists
  • Recognise leakage and overfitting early

02About this course

This course covers the workflow behind dependable machine-learning work: framing the problem, building a baseline, evaluating honestly and explaining what the model does.

We use scikit-learn on tabular data — the kind most organisations actually have — and spend as much time on evaluation and communication as on algorithms.

03Curriculum

3 modules, 8 lessons

1 h 53 min in total

  1. What are we predicting, and why?Preview11 min
  2. Baselines first10 min

04Before you start

  • Comfortable with Python and pandas
  • Basic statistics (means, distributions)

05Your instructor

Portrait of Tomás Albrecht

Tomás Albrecht

Data scientist and analytics lead

Tomás has worked on forecasting and analytics in retail and logistics. He cares about the steps that come before the model — getting data right, asking the right question — and about explaining results to people who will act on them.

All 2 courses by Tomás →

06Questions

Questions

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