The Central Limit Theorem – With Examples in Python

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In today's video, I empirically demonstrate the central limit theorem using Python, and briefly cover its importance to data science.

Dr. Jon Krohn is Chief Data Scientist at untapt, and the #1 Bestselling author of Deep Learning Illustrated, an interactive introduction to artificial neural networks. He also teaches courses in Deep Learning and Data Science at the New York City Data Science Academy.

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Thanks Jon .. This was quick and fast and to the point directly.

Hsnfci

Thank you very much, i am a probability student in France and this help a lot

oscarlamelo

Very good explanation, about how to implement the central limit in python. I'm starting to learn data science and I have seen that some courses have a lack of statistics base, so it drives to a lack of how to implement statistics in python, like hypothesis test, probabilities, chi-square test, and so on.

claudiomarcio

Great explanation of what is a core foundational concept in ML and stats in general - one of the best I've seen. Easy to follow, and Jon's Canadian accent is eerily soothing!

amrellabban

You are making super awesome videos. You made it so simple to understand using notebook. Thanks for creating such content. Please make videos on NLP. Keep growing.

SwavimanKumar

Confidence interval with examples in Python! plz

dmitriichuprakov

Very well explained and demonstrated with clear python code.

katiewu

Great explanation about central limit theorem and thank you for providing the code as well.

zeesh_ali

Awesome video, I just have one doubt, what it the logic behind mentioning _=sns.ditplot()?, we can even use sns.ditplot() directly. is there any specific meaning for prefixing _=?

pythoncourse

This is great, thanks! Could you also do an example with a real world dataset? Like using the theorem to solve a real problem instead of with generated numbers.. Thank you!

simenandreasknudsen

thank you, Jon. But, according to the theory there should be with replacement??? you did it without replacement? please answer..does it make any difference with or without replacement?

ekta

How do you use it in machine learning? Is it for outlier detection?

jheel-patel

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