From the course: Statistics and Python for Telecommunication: Using Data Analytics for Decision-Making in Modern Telecommunications
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Bayes’ theorem overview - Python Tutorial
From the course: Statistics and Python for Telecommunication: Using Data Analytics for Decision-Making in Modern Telecommunications
Bayes’ theorem overview
(bright music) - [Instructor] Hi, let's talk about the Bayes' Theorem. And Bayes' Theorem is widely used when we have to find out the probability of an event based on a new evidence or a new information. What does that mean? Let's understand it with one example. So we need to find out in a network that what is the probability of a churn, of user will or a customer will churn, if there is a call drop. So, we would like to understand the probability of user being churned given that there is a call drop happening on for that particular user. How do we calculate that? So for that, we need to have certain details. We need to first of all know that what is the probability? Whose server has been churned so far? What is the probability that those have churned because of the call drops? So, okay, fair enough. We have a data. We have a data where we have the customer who have churned, and they have given a reason of call drop. And we have probability of churn overall. It includes call drop, it…
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