PROJECT 1: RFM ANALYSIS AND K-MEANS CLUSTERING: A CASE STUDY ANALYSIS, CLUSTERING, AND PREDICTION ON RETAIL STORE TRANSACTIONS WITH PYTHON GUI The dataset used

The objective of this data science project is to analyze and predict customer behavior in the groceries market using Python and create a graphical user interfac

In this case study, we will explore RFM (Recency, Frequency, Monetary) analysis and K-means clustering techniques for retail store transaction data. RFM analysi

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Learn the basics of analytics on big data using Java, machine learning and other big data tools About This Book Acquire real-world set of tools for building ent