Outlier Detection & Removal | Outlier Treatment | Data Preprocessing | Machine Learning | Data Magic

Hello Friends,
Today I will Talk about What is outlier ? and How we can detect outliers from our data ?. Then will talk about how we can remove our outlier ? and whats the benefit of it ?.
Outlier Detection & Removal | Outlier Treatment | Data Preprocessing | Machine Learning | Data Magic
#outlierdetection #outlliertreatment #datamagic
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[@saikiranlagumsani696]

brother, should we give the total number of records as an argument to the bins parameter?

[@SodaPy_dot_com]

super!!

[@DataMagicAI]

Thank you!

[@olaoluwamann4187]

Thank you for your video. Please how do I get the value of bins in my dataset

[@DataMagicAI]

Your welcome !
Please checkout below episode related to data binning.
ua-cam.com/video/rOm_PzWMKIY/v-deo.html

[@Brain_quench]

Thanks for the video. You removed the 5 percent in the tails. Does this method only apply to data with normal distribution?

[@DataMagicAI]

It works best with normally distributed data but If you want you can apply it on any data.

[@siddharthtyagi1254]

could you please provide the dataset. It will be good.

[@lavupadhyay]

could u plz tell flow of data processing before model building ?

[@DataMagicAI]

check the data preprocessing playlist on channel

[@shaikhkashif9973]

What should we do first ,,,treat outliers or fill missing values??

[@DataMagicAI]

Handle missing value first but make sure to use right imputation technique.
Then go for outlier handling.
Again sometime beneficial to do reverse order depending on what % of missing values are their n all.
I will create one in detail episode with all scenarios soon…

[@flyeagle320]

Hi sunny ji , if there is multiple coloumn how can we find where to find outliers ?

[@DataMagicAI]

You need to check outliers in each columns and then try to handle it.

[@flyeagle320]

@@DataMagicAI any tutorial which can help me . I am newbie doing assignments

[@ajaykushwaha-je6mw]

we never handle outliers without filling NA values.

[@sundaybinakin4017]

first step before working on outliers