Скачать или смотреть Probability Explained Calculating Likelihood & Outcomes

Mohammad Mobashir continued their summary of a Python-based data science book, focusing on the probability chapter. They explained that the author aimed to present the simplest and most commonly used statistical concepts for data science. The main talking points included understanding data with histograms, central tendencies and dispersion, correlation concepts, correlation vs. linear regression, and Simpson's Paradox and causation.
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