Statistics and Probability in Python

Description

Educational video title:

Random variables in Python

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Stabilization of the probability distribution

Publish broadcasting

Discrete distribution

Fitting the probability distribution

Build custom probability distributions

Build a continuous probability distribution

Analyze a sample

Descriptive probability statistics

T-test and KS-test

The specific test for normal distribution

Comparison of two samples

Means comparison

Kolmogorov-smirnov test

Estimate the probability distribution kernel

Univariate estimation

Multivariate estimation

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