Python ML#10: Forecasting Sales for a Painting Manufacturing Company with Prophet
In this video, we walk you through the process of creating a sales forecasting model for a painting manufacturing company. Using historical sales data, we leverage the power of Python and the Prophet library to build an accurate and insightful forecasting model. We start by preparing and loading the data, followed by training the model and generating future sales predictions. We also demonstrate how to visualize the forecasted sales using interactive charts. Whether you are a business owner, analyst, or data enthusiast, this step-by-step demonstration will equip you with the knowledge and tools to forecast sales for your own company. Join us in this video and unlock the potential of data-driven sales forecasting.
GitHub Code and csv file: https://github.com/BekBrace/sales_for...
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