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This project leverages the Prophet algorithm in Python for sales forecasting and visualization. Prophet is a robust time-series forecasting tool developed by Facebook that can handle daily observations that display patterns on different time scales.

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VIGASHINI22/Sales-Forecasting-and-Visualization--Python

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Sales Forecasting and Visualization with Prophet (Python)

Overview

This project leverages the Prophet algorithm in Python for sales forecasting and visualization. Prophet is a robust time-series forecasting tool developed by Facebook that can handle daily observations that display patterns on different time scales. The goal is to provide accurate sales forecasts along with interactive visualizations for better insights into sales trends.

Features

  • Sales Forecasting: Utilizes the Prophet algorithm to predict future sales based on historical data and trends.

  • Interactive Visualizations: Generates visual representations of sales data and forecasts using tools such as Matplotlib and Plotly.

  • Customizable Parameters: Fine-tune the forecasting model by adjusting parameters to suit specific business requirements.

Prerequisites

Before using the project, ensure the following:

  • Python: Install Python on your machine. Download Python

  • Dependencies: Install required Python libraries by running:

    pip install pandas numpy fbprophet matplotlib plotly

About

This project leverages the Prophet algorithm in Python for sales forecasting and visualization. Prophet is a robust time-series forecasting tool developed by Facebook that can handle daily observations that display patterns on different time scales.

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