Data-Science-Hacks
Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.
Explore tips and tricks to improve your skills in data science, from beginner to advanced levels.
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Free · no card · unsubscribe anytimeData Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.
Data-Science-Hacks has 432 stars on GitHub. It has been forked 319 times. Data-Science-Hacks is written mainly in Jupyter Notebook. It has been in active development since 2020. Data-Science-Hacks is available under the GPL-3.0 license. Its main topics are computer-vision, data, data-analysis, data-science.
What is Data-Science-Hacks?
Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.
Is Data-Science-Hacks open source?
Data-Science-Hacks is an open-source project. It is released under the GPL-3.0 license.
Is Data-Science-Hacks free?
Yes. Data-Science-Hacks is free and open source — you can use, modify and self-host it. Its GPL-3.0 license is copyleft: if you distribute a modified version, it must remain under the same license.
What license does Data-Science-Hacks use?
Data-Science-Hacks is available under the GPL-3.0 license.
What language is Data-Science-Hacks written in?
Data-Science-Hacks is written mainly in Jupyter Notebook.
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