How to Detect and Remove Outliers in the Data | Python

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⭐️ Content Description ⭐️
In this video, I have explained on how to detect and remove outliers in the dataset using python. Removing outliers will be very helpful for data cleaning and preprocessing. The methods used are z-score, inter quartile range & percentile.

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🕒 Timeline
00:00 Introduction to Detection of Outliers
02:01 Z-score Method
12:00 Inter Quartile Range Method
17:12 Percentile Method

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You are amazing bro. Don't have words to thank you. you have cleared my many concepts. Lots of love from UK and god bless you. 😊

pankajgoikar
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Amazing tutorial. Bro, you made my day. Lots of love from Pakistan.

asadnaeem
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Thank you so much❤️..this was very helpful 🤜✨

durgak
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Bruh I have a please explain These three techniques are used for trimming or capping outliers in the But why don't we use only z-score to find outliers. Then what's the diff between these three techniques??

DJnaidu
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Thank you so much!!!. A question: in what type of distributions can the box plot be used? For example, if the data follows a uniform distribution, does it make sense to find outliers? What do you recommend me?

ArniFuentes
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Good vedio... Do i need check for all the numeric columns one by one and perform capping

debangshubarua
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Greate Tutorial!! Thanks a lot!! I have a question that How could I do it with the whole dataset? not a single one

vietttt
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What about dealing with categorical columns in the context of outliers?

titi-cudx
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Too good....and simple thanks a lot☺️🙏🏼

sushmitarawat
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Thank you so much,
I have a question, do we need to do this process for each column one by one?

massoudkadivar
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Hi.
if the data distribution is not normal, it's okay to use z-score ? or we should use IQR ?

SylvanAnugrahSyahPutra
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Yo bro I m also learning ai and ml concepts I just need to work one some project or get the training in this
Plz tell me if you can help

adityachoudhari
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can somebody please explain from where we get 1.5 in the IQR method? why exactly 1.5?

СулейманК-гы
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can u pls tell what can be outliers in textual data like comment etc..and how we can remove that outliers in textua data?

nishah
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what do you think is the best method out of these three ?

santoryuu
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why you decided to use residual sugar as a column to find outliers? any tips and tricks on which columns should be used to find outliers within the dataset?

ricesweat
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Hii..my dataset has 19 columns and at least 10 colums shows outliers..
So do I have to perform this process for every column each time?

Serene__Soul
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My df is empty while finding the outliers. Any idea why it is so?

Niyati_