Python-for-Probability-Statistics-and-Machine-Learning/chapters/probability/notebooks at master · learner-python-R/Python-for-Probability-Statistics-and-Machine-Learning

Name	Name	Last commit message	Last commit date
parent directory ..
fig-probability	fig-probability
src-probability	src-probability
Conditional_Expectation_Projection.ipynb	Conditional_Expectation_Projection.ipynb
Conditional_expectation_MSE.ipynb	Conditional_expectation_MSE.ipynb
Conditional_expectation_MSE_Ex.ipynb	Conditional_expectation_MSE_Ex.ipynb
Information_Entropy.ipynb	Information_Entropy.ipynb
ProbabilityInequalities.ipynb	ProbabilityInequalities.ipynb
README.md	README.md
Sampling_Monte_Carlo.ipynb	Sampling_Monte_Carlo.ipynb
intro.ipynb	intro.ipynb
moment_generating.ipynb	moment_generating.ipynb
projection.ipynb	projection.ipynb

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fig-probability

src-probability

Conditional_Expectation_Projection.ipynb

Conditional_expectation_MSE.ipynb

Conditional_expectation_MSE_Ex.ipynb

Information_Entropy.ipynb

ProbabilityInequalities.ipynb

README.md

Sampling_Monte_Carlo.ipynb

intro.ipynb

moment_generating.ipynb

projection.ipynb

This directory contains the corresponding Jupyter notebooks for the Statistics chapter. At the command line, do the following

jupyter notebook

and then your default browser should pop up and you can click on the individual notebooks and run all the cells. There may be some duplication in the output but this is for double checking that the rendered figures match those that were included in the source text. Due to some limitations in the translation between formats, there may be some code in the src-probability directory that may be useful. This directory contains author drafts that were usually migrated into the main text. This material may be useful on that basis.

Please open an Issue if you have problems or need more information.

-Jose