Description:

This course will teach you how to predict customer churn for a telecom company using Logistic Regression. You will learn the necessary techniques and tools to analyze customer data and identify patterns that signal potential churn. By the end of this course, you will be able to build a predictive model that can help telecom companies reduce customer churn and increase retention rates.

Key Highlights:

• Learn Logistic Regression for churn prediction
• Understand telecom customer data analysis
• Build a predictive model for reducing churn

What you will learn:

• Understand Logistic Regression
  Learn the basics and applications of Logistic Regression in predicting customer churn.
• Data Analysis Techniques
  Explore various data analysis techniques specifically tailored for telecom customer data.
• Build Predictive Models
  Hands-on experience in building predictive models to reduce customer churn.
• Case Studies and Applications
  Real-world case studies and practical applications to enhance your learning.
• Optimize Churn Prediction
  Learn how to optimize your predictive model for accurate churn prediction.