Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - PDF and CDF

The video tutorial explains how to calculate and plot the Probability Density Function (PDF) and Cumulative Distribution Function (CDF) for the standard normal distribution using Python's scipy and numpy libraries. It covers importing necessary modules, generating X values, and plotting the results. The tutorial also demonstrates calculating the log PDF and highlights the similarities in function arguments across different distributions.

What is the purpose of importing the 'norm' submodule from scipy.stats?

How do you calculate the PDF for a standard normal distribution using scipy?

What parameters are used in the norm.pdf function for the normal distribution?

Explain how to plot the CDF of the standard normal distribution using matplotlib.

What is the significance of the log PDF in the context of normal distribution?