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https://github.com/dpgitaccount/project---online-retail-sales-forecasting-using-time-series-analysis
The Online Retail Sales Forecasting Using Time Series Analysis project leverages historical sales data to predict future sales trends for e-commerce platforms. By applying time series analysis techniques, the model identifies patterns to optimize inventory and improve marketing strategies, and enhance decision-making for Future revenue growth.
https://github.com/dpgitaccount/project---online-retail-sales-forecasting-using-time-series-analysis
dataanalysis e-commerce forcasting jupyter-notebook machine-learning python statistical-analysis time-series
Last synced: 7 days ago
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The Online Retail Sales Forecasting Using Time Series Analysis project leverages historical sales data to predict future sales trends for e-commerce platforms. By applying time series analysis techniques, the model identifies patterns to optimize inventory and improve marketing strategies, and enhance decision-making for Future revenue growth.
- Host: GitHub
- URL: https://github.com/dpgitaccount/project---online-retail-sales-forecasting-using-time-series-analysis
- Owner: dpgitaccount
- Created: 2024-11-04T10:34:12.000Z (about 2 months ago)
- Default Branch: main
- Last Pushed: 2024-11-04T10:47:25.000Z (about 2 months ago)
- Last Synced: 2024-12-22T04:23:54.851Z (7 days ago)
- Topics: dataanalysis, e-commerce, forcasting, jupyter-notebook, machine-learning, python, statistical-analysis, time-series
- Language: Jupyter Notebook
- Homepage: https://www.kaggle.com/datasets/dp1224/online-retail-csv
- Size: 215 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0