Statistics For Data Science
This document is a thorough collection of notes on "Statistics for Data Science," tailored for students and professionals in the field. It covers essential topics such as probability, events, hypotheses, variables, and random variables. You’ll find clear explanations and practical examples for different statistical tests, including z-test and t-test, as well as scaling techniques. Whether you're preparing for exams or building a strong foundation in data science, these notes are packed with all the key concepts, formulas, and examples of statistics.
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- 20 augustus 2024
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statistics for data science