5 Probability Distributions you should know as a Data Scientist

[@rishisharma8311]

The real life examples for each of the distribution were amazing !!

[@CodeEmporium]

Glad you liked them. Many thanks :)

[@hkumar7340]

1:00 Normal Distribution 5:37 Log-normal Distribution 7:30 Uniform Distribution 8:48 Beta Distribution 10:33 Chi-squared Distribution.

[@CodeEmporium]

Thanks for the timestamps :)

[@McMurchie]

Ahhh, there are like a million Data/ML channels but this is still the only one I subscribe to (after being burned a bit by Siraj). Love this guys ability to articulate complex phenomena in a way that makes sense.

[@CodeEmporium]

Thanks for being a part of the community 🙂

[@McMurchie]

@@CodeEmporium pleasure!

[@harry8175ritchie]

Counts are often distributed under a Poisson. The domain is very important to mention when selecting a distribution, and the discrepancy between probability mass functions and density functions. Keep it up man, love your stuff.

[@CodeEmporium]

Thank you! More math videos to come!

[@bipinkapri9986]

That was really helpful! Amazing content!

[@CodeEmporium]

Many thanks and very glad you enjoyed it :)

[@mohammadrezaghiasy6618]

Hey buddy. Awesome as always. THANK YOU 💓

[@ronin2963]

Nice summary of five different topics that could be their own lessons

[@CodeEmporium]

Thank you. Will def dive into these topics in thier videos in some consumable form. I just need to think of the best way to deliver this content

[@hamzadata]

Man you are awesome!

[@doristhebrowndog]

how are y’all so smart… i left everything i learned about statistics back at where it started, at Uni :(

[@CodeEmporium]

Honestly I did the same. But the more you work with this stuff on applications, the better you’ll remember it. :)

[@yensteel]

Is there a way to create a custom probability distribution from a sample dataset? It can then generate new data with similar characteristics while remaining completely continuous?

[@CodeEmporium]

Yes that is possible. In python, scipy has distributions where you call a "fit" function and pass in sample data. For example, check out scipy.beta.fit.

[@yensteel]

@@CodeEmporium Thank you so much for the reply!

[@harry8175ritchie]

@@CodeEmporium Man, I feel like I'm really annoying here. I'm sorry! Be careful with this. Understand your data first: if there's any domain expertise you can throw into this, the data may be enforced to be a certain distribution, despite it not looking like it yet. For example: counting the number of times you see cars drive past your house within one hour blocks. Maybe you collect a handful of data. You notice a small tail at 2-5 cars, a peak at 7 cars, and a tail at 10 cars. You might think this is normal, but from the definition of the experiment, this is indeed a Poisson distribution: counting within set intervals.

[@timz2917]

The sample means can still be normal even if the samples arent

[@scott7948]

You missed tweedie distribution which is used in insurance modelling

[@monkyebrain]

Weibull gang stand up!

[@CodeEmporium]

You have been heard

[@gokulkurup1584]

Really good content

[@CodeEmporium]

Thank you :)

[@erickballesteros4531]

good vid :)

[@SiyaMedia]

poison ooops we need to talk about the poisson distribution as well

[@CodeEmporium]

Another video for sure

[@k.alipardhan6957]

start at 1:00

[@k.alipardhan6957]

i think 4 & 5 needed much more details, as much as we got for 1. but good video, thank you

[@lucio8794]

My man, I love your videos, but the audio is often out of sync, just a heads up

[@CodeEmporium]

Yep. Thanks for the heads up. I'm trying to get better with this for future videos :)

[@shaelanderchauhan1963]

Data is is just a game of giving 100 different fancy names for the same concept to make it Extremely confusing for learners

[@smokinghighnotes]

sahi mai bhai

[@dragonman101]

does anyone else see a lag between audio and video?

[@CodeEmporium]

Sorry about that. It happens a couple of times through the video. Will try to correct for future videos

[@dragonman101]

@@CodeEmporium no worries! :) I just couldn't tell if the issue was my computer or the video itself hahaha

[@larrybird3729]

no gamma :(

[@ssshukla26]

One those videos where it's implicitly assumes that you know stats before hand and explicitly follow that assumption throughout the video...

[@CodeEmporium]

I think only the normal distribution is technical here. The other 4 are a lot easier to pick up. Looking back, maybe could have easier explained the normal distribution. But I'll keep this mind for other videos

[@tusharbedse9523]

R u lipsing bro

[@CodeEmporium]

Nah. It's your imagination

[@tusharbedse9523]

@@CodeEmporium thanks for replying.... Was watching sm of ur videos ...awseome stuff...thanks!!

[@kushagrachaturvedi2144]

when i hear u first time its very weird u r voice does not match u. means don't know why its feels like that u r lisping and someone else is talking