Outlier Detection and Removal using Pandas Python




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This is a small tutorial on how to remove outlier values using Pandas library!

If you do have any questions with what we covered in this video then feel free to ask in the comment section below & I’ll do my best to answer those.

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#OutlierDetection #Outliers #Python #machinelearning #python #datascience

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Comment List

  • Bhavesh Bhatt
    November 30, 2020

    why do you have 10% as lower and only 5% as upper bound?

  • Bhavesh Bhatt
    November 30, 2020

    Hey,VERY INFORMATIVE VIDEO.THANK YOU FOR SHARING.

  • Bhavesh Bhatt
    November 30, 2020

    Can you please tell me from where have you downloaded the csv file

  • Bhavesh Bhatt
    November 30, 2020

    How to apply the same technique to multiple variables,
    Please do reply sir

  • Bhavesh Bhatt
    November 30, 2020

    Hey, I am trying the same thing and getting an error "ValueError: interpolation can only be 'linear', 'lower' 'higher', 'midpoint', or 'nearest'
    . Please help

    Its is showing the error in the result variable

  • Bhavesh Bhatt
    November 30, 2020

    If lower bound is lower quartile and higher bound is higher quartile, they are 50 and 50, not 0.1 and 0.95…

  • Bhavesh Bhatt
    November 30, 2020

    Formula for upper and lower bound??

  • Bhavesh Bhatt
    November 30, 2020

    beautiful

  • Bhavesh Bhatt
    November 30, 2020

    Hope this helps:
    (Just to summarize)
    Steps to find the outliers:
    1) sort the numbers in ascending order first

    2)Find the IQR.
    (Difference between 75th and 25th percentiles)

    formula:
    IQR = Q3 – Q1

    3)Multiply the IQR by 1.5.

    4)Add the resulting number to Q3 to get an upper boundary for outliers.

    5)Subtract the same resulting number (from #2) from Q1 to get a lower boundary for outliers.

    6) your range is (Q1 – 1.5*IQR , Q3 + 1.5*IQR)

    Where Q1 and Q3 are 25th and 75th percentiles respectively.

    7)If a number in the data set lies beyond the range defined in (6), it is considered an outlier.

  • Bhavesh Bhatt
    November 30, 2020

    Hi bhavesh,

    Could you please create a video as to how do we transform variables to a Gaussian distribution.
    Like applying log, sqrt, cbrt… Etc

  • Bhavesh Bhatt
    November 30, 2020

    Thanks for the video.
    *How can I find what the lower_bound and upper_bound for my data?*

    Kindly answer me as soon as you can 🙏🙏

  • Bhavesh Bhatt
    November 30, 2020

    This is a great video.
    can you suggest what should be the code if i want to treat outliers with the 95th Percentile

    Appreciate your reply

  • Bhavesh Bhatt
    November 30, 2020

    how to calculate lower bound and upper bound??

  • Bhavesh Bhatt
    November 30, 2020

    Hi

    Could share the link download the code to understand better

  • Bhavesh Bhatt
    November 30, 2020

    Thank you for sharing the video, how do you consider the values of lower and upper bound. Please share your inputs

  • Bhavesh Bhatt
    November 30, 2020

    Great video

  • Bhavesh Bhatt
    November 30, 2020

    thankyou so much:3

  • Bhavesh Bhatt
    November 30, 2020

    What tool is that ?

  • Bhavesh Bhatt
    November 30, 2020

    Nice and simple explanation. Can you please share the sample code used for demo

  • Bhavesh Bhatt
    November 30, 2020

    how to find the lower and upper bound

  • Bhavesh Bhatt
    November 30, 2020

    So it's better to replace the outlier with midean or mean value instead of dropping them?

  • Bhavesh Bhatt
    November 30, 2020

    TypeError: can't multiply sequence by non-int of type 'float'

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