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Time Series Forecasting of Retail Revenue by rishabswaroop950 is a document available to read on EtoBox.
What is Time Series Forecasting of Retail Revenue about?
The assignment focuses on time series analysis and forecasting of online retail revenue using the Day and Revenue variables from a dataset. Key tasks include visualizing data patterns, identifying seasonality and trends, applying statistical models like ARIMA for forecasting, and evaluating model performance. The analysis concludes with the development of a SARIMA model to account for both trend and seasonality in the time series data.
- Author
- rishabswaroop950
- Language
- EN