Python for Machine Learning - The Complete Beginners Course - 3D Visualization of the Clusters

The video tutorial explains how to create a 3D scatter plot using PLT. It begins by setting up a figure and defining a 3D axis. The tutorial then demonstrates how to plot X values with three attributes in a scatter plot. Finally, it explains the categorization of coordinates, detailing how each index in the X array corresponds to a different category.

What is the first step in setting up a 3D scatter plot?

• Plotting the scatter plot

• Initializing the figure

• Defining the X values

• Creating a 2D axis

Which function is used to define a 3D axis in the plot?

• PLT axis

• axis 3D

• figure 3D

• scatter 3D

What is the purpose of the 'scatter' function in this context?

• To define the figure

• To create a 2D axis

• To plot the X values

• To categorize the X values

How many attributes are used for the X values in the scatter plot?

• Four

• Two

• Three

• One

Which X value category is represented by 'X square brackets:, zero, close square brackets'?

• Fourth category

• First category

• Third category

• Second category