Python Statistics - Normal Distribution and Probability Functions

Learn the basics of a normal distribution and how to model your data with various functions from the Scipy library. You will learn how to visualize this data using Matplotlib and Seaborn.

You will become familiar with the
--cumulative distribution function
-- survival function
-- kde plots
-- histograms

[willosullivan]

They way you deliver the content and make it analogous to real life with your examples is pretty special from what I've seen. Case studies are the best ways to learn how Python is applied for many people, including me :)

Thanks

[arashsh]

Thank you for this useful content. I have dataset which it's distribution has two peaks and is not bell shaped! What's your take on that.
Tnx in advance👍

[ced]

Thanks for the info! I try to do a lot of stuff like this (probability) using data from a pandas dataframe + excel so i will try and incorporate these functions all in python going forward.

[M_le-nr]

hi, great video. Just wondering when you were using the norm.interval(0.68...), how did you come up with 68%?

[btdShradhasharma]

what is i have a csv data file. how will i do the mean and standard deviation then?

[nickmishkin]

Nice video! What if I want the probability that something is the exact height of Lebron James? Not more or less