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24 alternativesIntroduction to machine learning with scikit-learn
This repository contains Jupyter notebooks for an introductory video series on machine learning with scikit-learn.
About Introduction to machine learning with scikit-learn
This GitHub repository holds Jupyter notebooks for an introductory video series on machine learning with scikit-learn, a Python library. The series has 10 video tutorials totaling 4.5 hours, and each video has a matching notebook. The topics run from machine learning basics and setup through model training, model evaluation, linear regression, cross-validation, grid search, and classification metrics.
The videos are hosted on YouTube, and the notebooks can be viewed with nbviewer. The notebooks were updated to use Python 3.9.1 and scikit-learn 0.23.2. The original notebooks shown in the videos used Python 2.7 and scikit-learn 0.16, and those versions are kept on the archive branch.
Key features
- Ten Jupyter notebooks, each paired with a video tutorial
- Covers model training, model evaluation, and linear regression
- Includes notebooks on cross-validation and grid search
- Includes a notebook on classification metrics and categorical features
- Notebooks updated for Python 3.9.1 and scikit-learn 0.23.2
- Original Python 2.7 and scikit-learn 0.16 notebooks kept in archive branch
Best for: Learners new to machine learning who want video lessons paired with Python notebooks that use scikit-learn.
Good for
- Each of the 10 video tutorials has a matching notebook.
- Notebooks were updated to newer Python and scikit-learn versions.
- Topics progress from setup and basic models to evaluation and parameter tuning.
Watch out for
- The notebooks use Python 3.9.1 and scikit-learn 0.23.2, while the original videos used Python 2.7 and scikit-learn 0.16.
- The videos are hosted on YouTube, not in this repository.
Introduction to machine learning with scikit-learn at a glance
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Introduction to machine learning with scikit-learn FAQ
Where are the video tutorials hosted?
The entire series can be watched on YouTube. The notebooks can be viewed using nbviewer.
Which Python and scikit-learn versions do the notebooks use?
The notebooks in the main repository use Python 3.9.1 and scikit-learn 0.23.2. The original notebooks, which use Python 2.7 and scikit-learn 0.16, are on the archive branch.
Is there a course version of the series?
The series is also available as a free online course. The course includes updated content, quizzes, and a certificate of completion.
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