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Name: Cal

Type: User

Bio: I'm a data scientist that does things and stuff. Sometimes I get stuck doing stuff and things, but I prefer doing things and stuff.

Cal's Projects

ars

A look at implementing the Augmented Random Search algorithm

association-rule-learning

A couple examples of rule-based machine learning

classification

Example implementations of some classification models in machine learning

classification-example

Basic example for logistic regression modelling in R.

clustering

Examples of a couple machine learning clustering models

In the customer management lifecycle, customer churn refers to a decision made by the customer about ending the business relationship. It is also referred as loss of clients or customers. Customer loyalty and customer churn always add up to 100%. If a firm has a 60% of loyalty rate, then their loss or churn rate of customers is 40%. As per 80/20 customer profitability rule, 20% of customers are generating 80% of revenue. So, it is very important to predict the users likely to churn from business relationship and the factors affecting the customer decisions. We are going to show how logistic regression model using R can be used to identify the customer churn in the telecom dataset.