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

Published: 25 May 2020
on channel: codebasics
133,635
2.2k

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...

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

Do you want to learn technology from me? Check https://codebasics.io/ for my affordable video courses.

Feature Engineering Tutorial Python Playlist:    • What is feature engineering | Feature...  

Website: https://codebasics.io/
Facebook:   / codebasicshub  
Twitter:   / codebasicshub  


On this page of the site you can watch the video online Outlier detection and removal using percentile | Feature engineering tutorial python # 2 with a duration of hours minute second in good quality, which was uploaded by the user codebasics 25 May 2020, share the link with friends and acquaintances, this video has already been watched 133,635 times on youtube and it was liked by 2.2 thousand viewers. Enjoy your viewing!