Data Science and Machine Learning (Theory and Projects) A to Z - Seaborn for Data Visualization: Introduction to Seaborn

The video tutorial introduces Seaborn, a Python library built on top of Matplotlib, highlighting its simplicity and aesthetic appeal for creating complex plots with minimal code. It covers importing Seaborn, generating synthetic data, and demonstrates various plotting techniques such as histograms, kernel density estimates, distribution plots, and joint plots. The tutorial also showcases Seaborn's ability to create visually engaging plots with different styles and explores its capabilities using the Iris dataset.

How can you customize the figure size in Seaborn plots?

What are the different types of plots available in Seaborn for visualizing distributions?

What is the function of the pair plot in Seaborn, and how is it used?

Discuss the importance of the hue parameter in Seaborn visualizations.