DECIPHERING CUSTOMER SATISFACTION : A MACHINE LEARNING-ORIENTED METHOD USING AGGLOMERATIVE CLUSTERING FOR PREDICTIVE MODELING AND FEATURE SELECTION
In contemporary enterprises, customer satisfaction analysis has become a critical area of concentration. Being able to understand and predict customer satisfaction is becoming more and more important as companies try to develop and launch new products. Leveraging customer data intelligently and employing robust data analytics techniques are essential for meeting this imperative. With this objectiv
