To analyze the churn rate trends in the telecom industry.
To identify key factors impacting customer churn in the telecom sector.
To build a predictive model using machine learning algorithms to forecast customer churn.
To evaluate the effectiveness of the machine learning model in predicting customer churn.
To provide recommendations for telecom companies to reduce customer churn and improve customer retention.
Conduct a literature review on churn prediction in the telecom industry.
Collect and analyze relevant data related to customer churn and financial performance of telecom companies.
Preprocess the data and identify important features for churn prediction.
Develop and train machine learning models for churn prediction.
Evaluate the performance of the models using appropriate metrics.
Interpret the results and provide practical recommendations for telecom companies.
