Skewness and Kurtosis in Statistics | What is Skewness? | Handle Skewness | Satyajit Pattnaik

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Skewness and Kurtosis in Statistics | What is Skewness? | Handle Skewness | Satyajit Pattnaik
#skewness #statistics #satyajitpattnaik
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Опубликовано:

18 авг 2021

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Комментарии : 37

@dmgcoding417 Год назад

Clear explanation with actual practical tips...

@mushinart 10 месяцев назад

Amazing

@hatoonalghamdi867 2 года назад

That was really helpful thank you

@DeepakKumar-sv2fl Год назад

Watched many but got clear vision towards skewness by your video only. Thanks for the video

@SatyajitPattnaik Год назад

😍😍

@etido2726 Год назад

you have good video

@ameysonawane 2 года назад

Solved my assignment from this video.. lecture madhe laksha dila pahije XD easy hota

@shekharkumar1902 2 года назад

Superb

@SatyajitPattnaik 2 года назад

💪💪

@prajwalaithal25 2 года назад

Awesome. Very good content🔥

@SatyajitPattnaik 2 года назад

Thanks, pls share it among friends too.

@vishalshah9477 2 года назад

One more Informative video 💯🙏

@SatyajitPattnaik 2 года назад

Thanks Vishal 😎

@priyankahosamani7147 Год назад

Teach us which model to apply on a given dataset

@kartiksolanki9806 2 года назад

Came here from binks channel

@nishirajnikku969 2 года назад

Very informative.. on Skewness.... Request you to upload more n more video on stats topics. Thanks you so much Satyajit Sir

@SatyajitPattnaik 2 года назад

Ofcourse Nishiraj

@Explorewith_smita 2 года назад

Good one 👍

@SatyajitPattnaik 2 года назад

thanks.

@raunak3406 2 года назад

If there are missing values and the data is right skewed we fill missing data using median and not mean? Can you do a video why this happens?

@prashanthbabu1397 11 месяцев назад

Thank you for making this video! I was just curious about why we use only Logr, square or cubic functions to deal with skewed data. are there other ways to deal with skewness?

@ritvikarya4918 2 года назад

came from binks...love your channel

@SatyajitPattnaik 2 года назад

Thanks bro ❤️

@ajaykushwaha-je6mw 2 года назад

First we should normalize the sat then handle the skewness or for first we should handle skewness then normalize the data ?

@user-gs5zl6ff4z 3 месяца назад

Your video is very good and I am very helpful. but I want to ask, what if you want to predict house prices using skewness transformation as explained? because after doing skewness transformation, the data will have a different range from the original data. then if you want to predict house prices, it must have a different value from the market price. so, can you predict house prices with skewness transformation and a different range from the original house price data?

@SatyajitPattnaik 3 месяца назад

If you transform your data to get rid of your skewness then for new data where you want to predict, you need to do similar transformations too

@roshv1084 2 года назад

Hi Satyajit, to remove skewness of the dataset do we need to do this for every column in the data of the dataset? Is there any process that can remove skewness of the dataset?

@SatyajitPattnaik 2 года назад

There's a long discussion going on this over LinkedIn, I am in touch with a statistician, will revert back with the best answer soon..

@roshv1084 2 года назад

@@SatyajitPattnaik Thanks

@roshv1084 2 года назад

Can you make a video on hypothesis testing and its p-value with a dataset, how it is tested and used

@vivekpaliwal1876 11 месяцев назад

Is it mandatory that for training of every machine learning model, data must be normally distributed?

@SatyajitPattnaik 11 месяцев назад

not mandatory

@apurvadabhadkar9159 2 года назад

very informative.. but how to replace values 0 and 0.01?

@SatyajitPattnaik 2 года назад

There's pandas replace function to replace values in any column, you just need to replace 0 with a smaller number so that the log and reciprocal transformations don't fail 💪