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khanhnamle1994/cracking-the-data-science-interview

A curated collection of cheatsheets, practice questions, case studies, and portfolio examples for data science and machine learning interview preparation.

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The repository organizes study materials across multiple data science domains including SQL, statistics, mathematics, supervised and unsupervised learning, deep learning, NLP, and computer vision. It provides downloadable cheatsheets, eBook references, practice question banks, and portfolio templates to help candidates prepare for data science job interviews. The content is structured as a reference guide rather than a working software tool or model implementation.

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