Practical Data Science using Python - Logistic Regression - Telecom Churn Case Study

The video tutorial covers a logistic regression project aimed at solving a customer churn problem for a telecom company. It discusses the business problem, data preparation, and cleaning processes, including handling null values and data types. The tutorial also explores univariate analysis to gain insights into customer behavior and churn patterns.

How does the tenure of customers relate to their likelihood of churning?

What is the relationship between the type of contract and customer churn?

What correlation was found between monthly charges and customer churn?

What recommendations can be made to the telecom company based on the analysis?