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Top 23 Jupyter Notebook scikit-learn Projects
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A beginner-friendly ML curriculum with practical examples and exercises you can actually finish. A solid starting point if you’re new to ML and want quick wins. Link: https://github.com/microsoft/ML-For-Beginners
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The linked Github seems to have the 2nd edition in the form of notebooks, https://github.com/jakevdp/PythonDataScienceHandbook/blob/ma..., under the Using Code Examples section, "attribution usually includes the title, author, publisher, and ISBN. For example: "Python Data Science Handbook, 2nd edition, by Jake VanderPlas (O’Reilly). Copyright 2023..." compared to the OP's link which has "The Python Data Science Handbook by Jake VanderPlas (O’Reilly). Copyright 2016..."
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View on GitHub
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python-machine-learning-book
The "Python Machine Learning (1st edition)" book code repository and info resource
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tpot
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
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python-machine-learning-book-3rd-edition
The "Python Machine Learning (3rd edition)" book code repository
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machine_learning_complete
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
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eli5
A library for debugging/inspecting machine learning classifiers and explaining their predictions
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More: unsloth.ai
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imodels
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
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code
Compilation of R and Python programming codes on the Data Professor YouTube channel. (by dataprofessor)
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NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
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Index
What are some of the best open-source scikit-learn projects in Jupyter Notebook? This list will help you:
| # | Project | Stars |
|---|---|---|
| 1 | ML-For-Beginners | 89,428 |
| 2 | PythonDataScienceHandbook | 48,614 |
| 3 | handson-ml | 25,603 |
| 4 | Virgilio | 14,933 |
| 5 | python-machine-learning-book | 12,639 |
| 6 | tpot | 10,049 |
| 7 | skorch | 6,172 |
| 8 | machine-learning-book | 5,311 |
| 9 | python-machine-learning-book-3rd-edition | 5,029 |
| 10 | machine_learning_complete | 5,020 |
| 11 | jetson-containers | 4,831 |
| 12 | FLAML | 4,386 |
| 13 | ML-Workspace | 3,543 |
| 14 | dtreeviz | 3,153 |
| 15 | eli5 | 2,780 |
| 16 | hyperlearn | 2,493 |
| 17 | imodels | 1,614 |
| 18 | code | 1,048 |
| 19 | human-learn | 834 |
| 20 | linear-tree | 389 |
| 21 | bert-sklearn | 302 |
| 22 | feature-engineering-tutorials | 291 |
| 23 | converse | 183 |
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