What is kernel density estimation? And how to build a KDE plot in Python? | Seaborn KDEplot

What is kernel density estimation? And how to build a KDE plot in Python? | Seaborn KDEplot

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What is kernel density estimation? And how to build a KDE plot in Python? | Seaborn KDEplot
This seaborn kdeplot video explains both what the kernel density estimation (KDE) is as well as how to make a kde plot within seaborn. After introducing how a KDE plot is built, I demo Python code for both the univariate and bivariate KDE plots with seaborn. I also discuss what kinds of kernel to choose and how to set bandwidth. 00:00 What is KDE? 1:03 How does KDE work? 2:05 Univariate KDEplot code 4:02 What is bandwidth? 5:35 How to read a bivariate KDEplot 6:09 Bivariate KDEplot code 8:34 Conclusion and up next Github code: https://github.com/kimfetti/Videos/blob/master/Seaborn/02_KDEplot.ipynb #seaborn #dataviz