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AI & Machine Learningintermediate
AI-201

Machine Learning

When you finish, you can

Build, evaluate and explain a working machine-learning model on a real dataset, from a first regression to a deployed ensemble.

Start hereYou need AI-101 or equivalent and a free Python environment (Google Colab works). Every chapter ends with code you run.

9 hours total5 Chapters20 Lessons1 ExamsFREE
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Updated · What changed

How this course updates itself

Every day we scan the latest information in every field. We share with you what we think is a change as we go through regular course curriculum work, so it's the most current thing possible.

Nothing in the news has changed what this course teaches. The daily scan last checked it on ; when something does change, a dated note with sources appears here.

Debate a counselor

Take a position on Machine Learning. The AI counselor argues the other side, asks you questions back, and cites a source for every fact it states. Sources listed under a reply are the pages it actually found; if none are listed, it is arguing from reasoning only. It is an AI and it can be wrong: check the sources.

    Discuss this course

    A room for people taking this course, in any language, translated for every reader. Open breakout rooms for one question at a time.

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    Prerequisites::AI-101 Foundations of AI

    Course Syllabus

    9h total

    Practice

    1. Load a small public dataset (house prices or car mileage) in Colab.
    2. Fit a linear regression on one feature, then on three. Print the coefficients.
    3. Plot predictions against actuals and note where the line is worst.
    4. Create one new feature (price per square foot) and refit.

    Check

    Which added feature helped most, and how do you know it was not luck?

    Topics Covered

    mlregressionclassification

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    Questions about this course

    Is this course really free?
    Yes. There is no account, tuition or card. Current University is not accredited and gives no degrees, credit or certificates.
    How long does it take?
    About 9 hours across 5 chapters and 20 lessons, at your own pace.
    What do I need before I start?
    You need AI-101 or equivalent and a free Python environment (Google Colab works). Every chapter ends with code you run.
    Can I ask questions or disagree with the course?
    Yes. The course has an AI counselor that takes the other side, asks you questions back and lists the sources it used.