# Polynomial Linear Regression Plot Made Easy With Seaborn

While creating scatter plots, one is often interested in displaying a linear regression (simple or polynomial) fit on the data points.

Here, training a model and manually embedding it in the plot can be a tedious job to do.

Instead, with Seaborn's πΉπΊπ½πΉπΌπ(), you can add a regression fit to a plot, without explicitly training a model.

Specify the degree of the polynomial as the "πΌπΏπ±π²πΏ" parameter. Seaborn will add the corresponding regression fit on the scatter plot.

Read more here: Seaborn Docs.

I like to explore, experiment and write about data science concepts and tools. You could connect with me on LinkedIn.