5 Probability Distributions you should know as a Data Scientist

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5 Probability Distributions you should know as a Data Scientist

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CodeEmporium

Күн бұрын

Пікірлер: 46

@rishisharma8311 2 жыл бұрын

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

@CodeEmporium 2 жыл бұрын

Glad you liked them. Many thanks :)

@hkumar7340 2 жыл бұрын

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

@CodeEmporium 2 жыл бұрын

Thanks for the timestamps :)

@McMurchie 2 жыл бұрын

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 2 жыл бұрын

Thanks for being a part of the community 🙂

@McMurchie 2 жыл бұрын

@@CodeEmporium pleasure!

@harry8175ritchie 2 жыл бұрын

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 2 жыл бұрын

Thank you! More math videos to come!

@bipinkapri9986 2 жыл бұрын

That was really helpful! Amazing content!

@CodeEmporium 2 жыл бұрын

Many thanks and very glad you enjoyed it :)

@mohammadrezaghiasy6618 2 жыл бұрын

Hey buddy. Awesome as always. THANK YOU 💓

@ronin2963 2 жыл бұрын

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

@CodeEmporium 2 жыл бұрын

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 7 ай бұрын

Man you are awesome!

@yensteel 2 жыл бұрын

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 2 жыл бұрын

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 2 жыл бұрын

@@CodeEmporium Thank you so much for the reply!

@harry8175ritchie 2 жыл бұрын

@@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.

@doristhebrowndog Жыл бұрын

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

@CodeEmporium Жыл бұрын

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

@timz2917 6 ай бұрын

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

@scott7948 2 жыл бұрын

You missed tweedie distribution which is used in insurance modelling

@monkyebrain 2 жыл бұрын

Weibull gang stand up!

@CodeEmporium 2 жыл бұрын

You have been heard

@gokulkurup1584 2 жыл бұрын

Really good content

@CodeEmporium 2 жыл бұрын

Thank you :)

@k.alipardhan6957 2 жыл бұрын

start at 1:00

@k.alipardhan6957 2 жыл бұрын

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

@erickballesteros4531 2 жыл бұрын

good vid :)

@SiyaMedia 2 жыл бұрын

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

@CodeEmporium 2 жыл бұрын

Another video for sure

@lucio8794 2 жыл бұрын

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

@CodeEmporium 2 жыл бұрын

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

@shaelanderchauhan1963 2 жыл бұрын

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

@smokinghighnotes Жыл бұрын

sahi mai bhai

@dragonman101 2 жыл бұрын

does anyone else see a lag between audio and video?

@CodeEmporium 2 жыл бұрын

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

@dragonman101 2 жыл бұрын

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

@larrybird3729 2 жыл бұрын

no gamma :(

@tusharbedse9523 2 жыл бұрын

R u lipsing bro

@CodeEmporium 2 жыл бұрын

Nah. It's your imagination

@tusharbedse9523 2 жыл бұрын

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

@ssshukla26 2 жыл бұрын

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

@CodeEmporium 2 жыл бұрын

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