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Explores spatial regression models, addressing spatial autocorrelation challenges and the concept of spatial lag models to correct biases and improve inference accuracy.
Explores evaluation protocols in machine learning, including recall, precision, accuracy, and specificity, with real-world examples like COVID-19 testing.
Explores electrochemical sensitivity analysis through chrono-amperometry and cyclic voltammetry, including regression analysis and sensitivity calculation for hydrogen peroxide detection.
Examines the complex relationship between happiness and economic growth, highlighting the impact of consumption satisfaction, relative prosperity, and key determinants of happiness.
