What is an Isolation Forest? And How Does it Detect Outliers?

Isolation Forest is a simple yet incredible unsupervised algorithm that is able to spot outliers or anomalies in a data set very quickly. I should say understanding this tool is a must for any aspiring data scientist. In this article, I will briefly go through the theories behind the algorithm and also its implementation. Its Python implementation from Scitkit Learn has been gaining tons of popularity due to its capabilities and ease of use. But before we jump right into the implementation, it's always best practice for us to study about its use cases and the theory behind it.