Machine Learning Tutorial Python | Machine Learning For Beginners - 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 Do you want to learn technology from me? Check https://codebasics.io/ for my affordable video courses. Feature Engineering Tutorial Python Playlist: https://www.youtube.com/watch?v=pYVScuY-GPk&list=PLeo1K3hjS3ut5olrDIeVXk9N3Q7mKhDxO Website: https://codebasics.io/ Facebook: https://www.facebook.com/codebasicshub Twitter: https://twitter.com/codebasicshub