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data-science-complete-tutorial
Jupyter Notebook

data-science-complete-tutorial

For extensive instructor led learning

by edyoda · GitHub
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decision-treesfeature-selectionlinear-regressionJupyter Notebook
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In plain words

Follow a comprehensive tutorial to learn data science concepts using Jupyter Notebook, including decision trees and machine learning.

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1 8301 829
2026-07-202026-08-31
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📄 About

For extensive instructor led learning

data-science-complete-tutorial has 1.8k stars on GitHub. It has been forked 770 times. data-science-complete-tutorial is written mainly in Jupyter Notebook. It has been in active development since 2018. Its main topics are decision-trees, feature-selection, linear-regression, machine-learning.

Frequently asked questions

What is data-science-complete-tutorial?

For extensive instructor led learning

Is data-science-complete-tutorial open source?

data-science-complete-tutorial is an open-source project.

Is data-science-complete-tutorial free?

Yes. data-science-complete-tutorial is free and open source — you can use, modify and self-host it.

What language is data-science-complete-tutorial written in?

data-science-complete-tutorial is written mainly in Jupyter Notebook.

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