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This lecture covers the fundamentals of linear regression and correlation analysis, including computing correlation coefficients, interpreting correlations, univariate and multivariate linear regression, logistic regression, and their implementation in Python. It also discusses the importance of distinguishing correlation from causation in data analysis.
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