Python Data Analysis Hack: Fitting Data to a Distribution in 60 Seconds

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How can you actually fit data to a probability distribution in practice? Today, I provide a 60 second tutorial on how to do so in Python!

This video is part of a series added to this channel where I am providing short, quick tutorials on implementing the concepts covered in this channel through Python, R, and other tools!

#statistics #datascience #probabilitydistribution #probability #tutorial #python #scipy #matplotlib #pandas
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Hello, and welcome to RiskByNumbers!

I am a professor sharing educational resources around probability, statistics, optimization methods, algorithms, and programming to a broad audience.

Outside of Youtube, you can currently find me in Vancouver, Canada at the University of British Columbia.

Thank you, and I look forward to seeing you in future videos!

  1. RiskByNumbers
  2. statistics
  3. python
  4. pandas
  5. scipy
  6. matplotlib
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Комментарии
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Thanks for making and sharing these videos Doc

anchoragetechsolutions
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Great Video. One question why did you use an asterix with "*normfit"?

TheKyprosGaming
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Hi Omar, thanks for your lessons. Is there a way to infer the best distribution to use to fit the data rather than looking at the relevant histogram and assume the normal one will be the best?

simonegiuliani