PLPluralsight
Understanding Machine Learning with Python 3
Beginner 1.9 hours English Certificate of Completion
What you'll learn
Frame a machine-learning prediction problem
Prepare and clean data for modelling
Select an appropriate algorithm
Train a model with scikit-learn
Evaluate model performance
Work within Jupyter Notebook
This course includes
1.9h
On-demand video
Yes
Mobile access
English
Language
Comparison · LBS
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Understanding Machine Learning with Python 3
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Prices & availability can change — confirm on the provider's site. We're not affiliated with any single provider.
Instructor
JK
Jerry Kurata
Pluralsight instructor
— learners— courses — instructor rating
Taught by Jerry Kurata, an experienced technologist and Pluralsight author specialising in machine learning and data topics.
Requirements
- Basic Python and statistics knowledge
Who this course is for
- Developers new to machine learning
- Pythonistas exploring ML
- Analysts with basic statistics knowledge
About this provider
PL
Pluralsight
Tech skills platform for software developers, IT ops, and security professionals.
4.4 trust score
Frequently asked questions
Only basic statistics. It's a practical, code-first introduction using scikit-learn rather than a maths-heavy theory course.
Python 3, the scikit-learn library, and the Jupyter Notebook environment — the standard beginner ML stack.
No — Pluralsight doesn't issue completion certificates. For a shareable credential, a Coursera or DataCamp ML course is a better fit.
About two hours.
A deeper specialization — for example a Coursera machine-learning course — to go beyond a first prediction model into theory and breadth.