To automate the process of modeling selection and evaluate the results with visualization, I have created some functions into my personal library and today I’m sharing the codes with you. I run them to evaluate and compare Machine Learning models as fast and easily as possible. Currently, they are designed to evaluate binary classification models […]Related PostSeaborn Categorical Plots in PythonMatplotlib Library Tutorial with Examples – PythonVisualize the World Cup with R! Part 1: Recreating Goals with ggsoccer and ggplot2Creating Slopegraphs with RHow to use paletteR to automagically build palettes from pictures