Predictive Modeling of Customer Churn Using Machine Learning
Plag ProInformation Technology ManagementProject Objectives:
To analyze and understand factors influencing customer churn in the education sector.
To build a predictive model using machine learning algorithms to identify customers at risk of churning.
To evaluate the performance of the predictive model and identify areas for improvement.
Project Tasks:
Collect and preprocess relevant data on customer churn and education sector variables.
Explore and analyze the data to identify key factors influencing customer churn.
Select and implement appropriate machine learning algorithms for predictive modeling.
Train and evaluate the predictive model using performance metrics such as accuracy, precision, and recall.
Interpret the results and provide recommendations for reducing customer churn in the education sector.
Educational Qualifications
B.TechB.ScBBAMBAPGDM
Required Skills
Predictive Analytics & Tech Adoption MappingMachine LearningCustomer Behavior AnalysisData Preprocessing & Feature EngineeringModel Evaluation (Accuracy, Precision, Recall)
