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Nowadays, big data plays a crucial role for many online e-commerce businesses to generate more sales. Big data is a huge collection of data and information which are utilized by many organizations to forecast which products, costs, and advertisements are better to maximize their business profits. This paper aims to apply the extreme gradient boosting (XGBoost) based model to forecast sales growth of online products, specifically books and magazines, from massive datasets present in onlinedoi:10.18090/samriddhi.v14i01.18 fatcat:qdlkfyuwv5f3vbsxx3b3hizxq4