Julia for Data Science (Video 25)

The video tutorial explores regression techniques, focusing on generalized linear models (GLM) and their application in data analysis using Julia. It introduces the GLM and GLMnet packages, explaining how GLM can generalize linear models through link functions. The tutorial demonstrates using the LM function for simple linear regression, interpreting results with P values, and understanding model fit. It further delves into the GLM format, distribution, and link functions. Finally, it covers the GLMnet and Lasso packages for advanced regression, including regularization and cross-validation techniques.

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