Introduction to statsmodels

statsmodels is a Python module that provides classes and functions for the estimation of many different statistical models, as well as for conducting statistical tests, and statistical data exploration
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[@edwardmalthouse973]

Thank you for making the video. It was very clear. In R it is possible to get the basic diagnostic plots by plotting the fitted object. This includes residual plots, QQ plot and Cook's distance plot. Does Python give similar diagnostics? One should also examine a scatterplot matrix (plot the data frame) before fitting the regression. How to do so in Python?

[@neilmurphy7064]

Useful intro, thanks.

[@marvinedwards4123]

Is there a multi-class classification classifier in statsmodels?

[@DataScienceforEveryone]

Yes. You can use multinomial logistic regression with the MNlogit function. It generalizes logistic regression to multi-class problems.

[@richardnixon8300]

@@DataScienceforEveryone Hi, I have a rather niche question if you dont mind. I have asked at stackoverflow but was unsucessful.
When using multinomial regression in statsmodels, do you know if it is possible to change the reference catergory of the dependent variable?
I know its possible for independent variables but I am unsure for dependent variables.

[@ghezaielyessine1480]

Is SETAR modal available in statsmodels package? i coudnt get it :/ thank you

[@DataScienceforEveryone]

No. It's not available anymore. It was available with some older versions. But it has been deprecated. You can search for the SETAR model online and find some home-brew for it. But I don't know how well they work.

[@chandanraj5778]

Which playground is used to execute statsmodels?

[@mohamedseddiksakai9447]

Is there a file? pdf It has all commands statamodels

[@DataScienceforEveryone]

The files are available on our GitHub page.

[@MultiWarrr]

Is that supposed to be introduction

[@pouriaforouzesh5349]

👍

[@DataScienceforEveryone]

Thanks!