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Beer Data Pricing and Clustering Exercise

Description

This repository contains code for the clustering and pricing, which involves building and deploying a pricing model for beer products. The pricing model aims to optimize beer prices based on various factors such as demand, sales performance, and market trends.

Installation and Setup

1. Installing Pip Requirements

  • Ensure you have Python 3.x installed on your system.
  • Clone this repository to your local machine.
  • Navigate to the project directory:

git clone https://github.com/chasenuzum/naz_data_clustering_pricing.git

  • (not saved in git yet)

cd naz_data_clustering_pricing

  • Install the required Python dependencies using pip:

pip install requirements.txt

2. Running the Application

  • After installing the dependencies, you can run the run.py script to execute the pricing model:

python run.py

Docker Installation (Optional)

Building the Docker Image

  • If you prefer using Docker, ensure Docker is installed on your system.
  • Navigate to the project directory containing the Dockerfile.
  • Build the Docker image using the following command:

docker build -it naz_data_clustering_pricing

Running the Docker Container

  • Once the image is built successfully, you can run a Docker container:

docker run -it naz_data_clustering_pricing

Usage

  • After running the application or Docker container, follow the prompts to input necessary data and parameters for the pricing model.
  • The model will generate optimized prices for beer products based on the provided inputs.

Contributors

  • Chase Nuzum

License

[License information if applicable]

naz_data_clustering_pricing's People

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