How To Use Isolation Forest Machine Learning Algorithm For Outlier Detection Using Python

In this tutorial, Gaelim is going to show how to use the Isolation Forest machine learning algorithm to find outliers in your data, and how to fine tune this algorithm and compare to traditional ways of outlier detection.

***** Video Details *****
00:00 Introduction
00:33 Isolation Forest method vs Box Plot method
02:03 Data set
02:51 Applied steps
03:14 Python code
07:02 Traditional outlier vs Anomaly detection
08:58 Optimizing the algorithm

***** Learning Power BI? *****
FREE COURSE – Ultimate Beginners Guide To Power BI – http://portal.enterprisedna.co/p/ultimate-beginners-guide-to-power-bi
FREE COURSE – Ultimate Beginners Guide To DAX – http://portal.enterprisedna.co/p/ultimate-beginners-guide-to-dax
FREE – Power BI Resources – http://www.enterprisedna.co/power-bi-resources
FREE – 60 Page DAX Reference Guide Download – https://www.enterprisedna.co/dax-formula-reference-guide-download/
Enterprise DNA Membership – https://www.enterprisedna.co/membership
Enterprise DNA Online – http://portal.enterprisedna.co/
Enterprise DNA Events – https://www.enterprisedna.co/enterprise-dna-events-page/

#EnterpriseDNA #Python #PythonTutorial #PythonForPowerBI #MachineLearning #PowerBI #PowerBIDesktop #PowerBITutorial