A data analysis project for a group of stores in different regions and states to identify which ones are more profitable compared to several factors such as the store’s operating history, the store’s spending, the profit it makes, and the average income.
The workflow includes data exploration, dimension reduction, and visualization, with the integration of machine learning concepts for advanced analysis. The GitHub repository provides comprehensive documentation and instructions for replicating the analysis and findings.
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