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cracking-the-data-science-interview
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cracking-the-data-science-interview

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

by khanhnamle1994 · GitHub
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conceptsdata-journalismdata-portfolioJupyter Notebook
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Prepare for data science and machine learning job interviews with a collection of resources and practice questions.

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A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

cracking-the-data-science-interview has 4.7k stars on GitHub. It has been forked 1.2k times. cracking-the-data-science-interview is written mainly in Jupyter Notebook. It has been in active development since 2018. Its main topics are concepts, data-journalism, data-portfolio, data-science.

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A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

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cracking-the-data-science-interview is an open-source project.

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Yes. cracking-the-data-science-interview is free and open source — you can use, modify and self-host it.

What language is cracking-the-data-science-interview written in?

cracking-the-data-science-interview is written mainly in Jupyter Notebook.

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