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

The video tutorial covers creating multiple plots and subplots using Bokeh, a data visualization library. It explains how to generate data with Numpy and create figures with different attributes. The tutorial demonstrates using the grid plot function to arrange multiple plots in a single layout, allowing for independent interaction with each subplot. The video concludes with a brief introduction to Scikit-learn, a machine learning library, and mentions further courses on data visualization and data science.

How can you interact with each subplot independently in a visualization?

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What is the significance of setting the width and height properties for plots?

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Discuss the transition from data visualization libraries to machine learning libraries as mentioned in the text.

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