Linear regression in the wild
Read OriginalThe article details a data science interview assignment requiring linear regression modeling on a dataset with measurement errors. It walks through Python code for data import, visualization, outlier removal, model fitting with scikit-learn, and validation of regression assumptions like residual analysis and normality checks.
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