Home»Computer Science» Prediction of the rate of dropouts in tertiary institutions in south west Nigeria - case study of five institutions

Prediction of the rate of dropouts in tertiary institutions in south west Nigeria - case study of five institutions

 Department:Computer Science  
 By:usericon Jaymeg  

 Project ID: 8563
 Rating:  (5.0) votes: 1
   Price:₦5000
Abstract
Predictive modeling has emerged to become an integral part in forecasting customer purchase behavior and, as such, helps firms to implement strategies that would help bolster sales while improving overall customer satisfaction. These predictions will be facilitated through key patterns and trends derived from past data by machine learning algorithms. Different predictive models, such as logistic regression, decision trees, and neural networks, will be studied in an exploratory way with the objective of choosing the model that best predicts the intention of buying the customers. The main features are: demographic, past transaction history, product preferences, and engagement metrics. It follows logically that embedding predictive modeling in CRM would lead to great enhancements of focused marketing campaigns, inventory management, and customer retention overall. This study underlines the ability of predictive analytics to convert raw data on customers into insight for driving decision-making and business growth....
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