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Outlier detection and removal using percentile | Feature engineering tutorial python # 2

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Outlier detection and removal using percentile | Feature engineering tutorial python # 2

151,847 views June 10, 2020 17:18

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Channelcodebasics

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Outliers are unusual data points that differ significantly from rest of the samples. They can occur due to an error in data collection process or they are just legitimate data points and represent natural variation. In this video we are going to use percentile to detect and remove outliers from a dataset. We will use python pandas for this.

Code & Exercise: github.com/codebasics/py/blob/master/ML/Feature…

Topics
00:00 Outliers introduction
01:44 What is percentile
03:41 Remove outliers from simple dataset
08:10 Remove outliers from complex dataset
14:59 Exercise

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Feature Engineering Tutorial Python Playlist: youtube.com/watch?v=pYVScuY-GPk&list=PLeo1K…

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About this tutorial

codebasics published this 17:18 video tutorial on June 10, 2020. It has been watched 151,847 times on YouTube.

Channel
codebasics
Category
Education
Duration
17:18
Published
June 10, 2020
Views
151,847
Likes
2,528

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