Apunte de clase

We use the Lasso model (Least Absolute Shrinkage and Selection Operator) in regression analysis to estimate the relationship between the dependent variable and a set of predictors. Lasso regression introduces a penalty term that reduces the magnitude of the coefficients and may force some of them to become exactly zero, thereby performing automatic variable selection. The method is particularly useful when the dataset contains a large number of predictors or when a strong degree of correlation exists among them, helping to obtain a more stable and interpretable model.

St. Louis crime analysis 2013-2014

This is my 5 slide pitch for my Shiny App.

ejercicio de excel