MACHINE LEARNING APPROACH TOWARDS TELEMARKETING ESTIMATION

Abstract

Machine learning empowers us to extract insights from large datasets beyond human capacity. It involves training computers to identify patterns within data, enabling them to glean valuable information and apply it to novel tasks. This study focuses on analyzing a specific telemarketing dataset using various machine learning algorithms to determine if accurate predictions can be made to support company decision-making. The findings highlight that customer "Age" and "Product ID" are the primary factors influencing "Sales" numbers, indicating their significance in the predictive model.