Lec-6.7 Data Preprocessing Handling Outliers (Arif Butt @ Data Science)
1:28 Learning Agenda
2:05 Overview of Data Preprocessing and Feature Engineering
3:24 What are outliers and How to deal with them?
8:38 Z-Score Method to Identify Outliers
10:20 Hands on Example to Identify Outliers (Z-Score Method)
18:05 Hands on Example to Treat Outliers (Trimming, Capping)
24:13 IQR Method to Identify Outliers
29:00 Hands on Example to Identify Outliers (IQR Method)
33:29 Hands on Example to Treat Outliers (Trimming, Capping)
35:26 Percentile Method to Identify Outliers
36:52 Hands on Example to Identify Outliers (Percentile Method)
38:53 Multivariate Analysis to Handle Outliers
email: [email protected], [email protected], [email protected]
Lecture Slides and Resources: http://arifbutt.me
Jupyter notebooks: https://github.com/arifpucit/data-sci...