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This report provides a summary of an internship working with Zum-it to automate their sales and forecast dashboards using business intelligence tools, machine learning, and deep learning. The solution involved extracting data using an ETL process, building predictive models with algorithms like random forest regression, and visualizing results in sales and prediction dashboards. Random forest regression performed best at predicting sales.

Author

Ha Na

Language

EN