This assignment explores the CommBank Retail Business Insights Report, analyzing its strengths and weaknesses. It delves into the importance of data analytics in decision-making, particularly regression analysis. The assignment further examines scatter plot diagrams, regression line equations, and the use of Excel's ToolPak for data analysis. It also explores classification and prediction methods, including discriminant analysis, logistic regression, and classification trees. The assignment concludes with a discussion of neural networks and their applications, as well as the use of clustering techniques like k-means clustering for analyzing customer behavior and optimizing business strategies.
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