Detect Outlier | Exploratory data analysis

In this video we will work on House price prediction dataset :
we will cover:
What are Outliers
How to detect Outliers using Boxplots
Removing Outliers on Saleprice
Statistics Tutorial for data science playlist : www.youtube.co....
Python Tutorial to learn Python programming for Data Science with examples: bit.ly/2u4zzCz
Reach out to me if you have any questions :
Email: [e-mail]
Linkedin: / utsav-agg. .
Website: www.skilltoai.com

[@SadnyitPathare]

Thank you for this amazing video.
Actually, my data had some lower level outliers can you please help me out with a formula for lower-level outliers.
I tried with 'Quartile1-IQR' but this results with a negative value.

[@amrendrasingh5719]

Thanks alot bro it worked
Before that I was handling outliers with 99 percentile and ST deviation but getting an error in that

[@utsavaggarwal_ds]

Glad to hear that it worked

[@sanjaybora380]

There are still some outliers there
What should we do about them?

[@Tracks777]

awesome content

[@caliguy1260]

I like how you label outliers as 'outliars' because they do lie about the overall pattern of the data 😁

[@Babytravel-t7o]

Super...

[@muhammadmehrozkhan9310]

Superb (Y)

[@muhammadmehrozkhan9310]

one question please, you applied a technique to calculate a boundary and then dropped the records which were not falling in that limit, is that technique is generic or you just find it suitable by seeing the box-plot and what are possible drawbacks of this technique.
Once again thank you for your dedication!