The main objective of this Project is to create an effective system for customer churn prediction and taking necessary precautions to prevent users from changing one network to another network
In current days, the customers are getting more attracted towards the quality of service (QoS) provided by the organizations. However, the current era is evidencing higher competition in providing technologically advanced QoS to the customers. Nevertheless, efficient customer relationship management systems can be advantageous for the organization for gaining more customers, maintaining customer relationships and improve customer retention by adding more profit to the organizational business. Furthermore, the machine learning models such as support vector machine Random Forest algorithms can add more value to the customer retention strategies.
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

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