Telecom Churn Prediction

Keywords: Telecom Churn,Prediction,Machine Learning,Algorithms

Background

Telecom churn prediction is a critical area of research in the telecommunications industry. With intense market competition and the increasing demand for better services, telecom operators are faced with the challenge of retaining their customers. Identifying potential churners in advance allows operators to proactively take measures to retain them and maintain a profitable customer base. This research aims to develop an accurate churn prediction model using machine learning techniques to assist telecom operators in reducing customer churn

Aim & Objectives

Aim
Telecom churn prediction aims to forecast customer attrition in telecommunications industry for effective retention strategies
Objective
• Data Cleaning and pre-processing
• Data Visualization
• Statistical testing’s
• SMOTE
• Building The ML model

Research Methodology

various classification algorithms like Logistic regression,RF,SVM,KNN and Adaboost

Software & Tools

Jupyter, Google Collab

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