StoreSales TimeSeriesForecasting - Kaggle
Deep Learning - NLP
The “Store Sales - Time Series Forecasting” notebook on GitHub employs time series analysis and forecasting techniques to predict store sales. It utilizes Python and machine learning libraries, likely including pandas for data manipulation, matplotlib for visualization, and sklearn for model building. This approach would be used to analyze historical sales data, identify patterns and trends, and forecast future sales, providing valuable insights for inventory and sales strategy planning. For an in-depth understanding, please review the notebook directly on GitHub.