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

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: https://github.com/codebasics/py/blob/master/ML/FeatureEngineering/1_outliers/1_outliers_percentile.ipynb

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

Feature Engineering Tutorial Python Playlist: https://www.youtube.com/watch?v=pYVScuY-GPk&list=PLeo1K3hjS3ut5olrDIeVXk9N3Q7mKhDxO

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