Sales Forecasting

Description

Demo on sales forecasting.

Getting Started

Prerequisites

• Python (version 3.8)
• Jupyter Notebook
• [Optional] Virtualenv or Conda for managing dependencies

Installation

Step 1: Download the Notebook

Download the Jupyter notebook file (sales_forecasting_demo.ipynb) from the repository.

Step 2: Download the Data

Download the data archive (data.zip) from the repository.

Step 3: Unzip the Data

Extract the contents of the data archive to a folder in the project directory.

Step 4: Set up Virtual Environment (Optional)

# Using virtualenv
python -m venv venv
source venv/bin/activate  # On Windows, use `venv\Scripts\activate`

# Using conda
conda create --name myenv
conda activate myenv

Step 5: Install Dependencies

pip install -r requirements.txt

Usage

Step 1: Start Jupyter Notebook

jupyter notebook

Step 2: Open the Notebook

Navigate to the notebook file (sales_forecasting_demo.ipynb) in your browser and open it using Jupyter Notebook.

Step 3: Run the Notebook

You can simply run the cells in the notebook and see the procedure for sales forecasting.