https://github.com/praveendecode/docker-rfs

These visuals predict weekly sales prices for the upcoming year, serving as a valuable tool for forecasting
https://github.com/praveendecode/docker-rfs

containers docker docker-image dockerfile python

Last synced: about 1 month ago
JSON representation

These visuals predict weekly sales prices for the upcoming year, serving as a valuable tool for forecasting

• Host: GitHub
• URL: https://github.com/praveendecode/docker-rfs
• Owner: praveendecode
• Created: 2023-11-27T12:55:43.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2023-12-21T12:20:32.000Z (about 1 year ago)
• Last Synced: 2023-12-21T15:12:33.609Z (about 1 year ago)
• Topics: containers, docker, docker-image, dockerfile, python
• Language: Python
• Homepage: https://hub.docker.com/repositories/praveendecode
• Size: 6.84 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
 # Docker Image For Retail Revenue Forecasting

![image](https://github.com/praveendecode/Docker-rfs/assets/95226524/dcf24d6b-1dfb-4be0-b17f-a15575ecedc7)

# Overview:

This project focuses on predicting department-wide sales for each store for the upcoming year. The model considers the impact of markdowns during holiday weeks and provides actionable insights for strategic decision-making

# Getting Started:

- To begin, clone the project repository to your local machine.

   git clone https://github.com/your_username/retail-sales-forecasting.git

   cd retail-sales-forecasting

# Main Features of the Project:

- Predict department-wide sales, considering holiday markdown effects.

- Interactive Tableau dashboard for insightful visualizations.

- Machine learning model for accurate weekly sales predictions.

- Streamlit web app deployment for user-friendly access.

# Process Steps for Docker:

- Build Docker Image:

  docker build -t retail-sales-forecasting .

  

- Run Docker Container:

  docker run -it retail-sales-forecasting

# Docker Hub Access:

- Docker images for this project are available on Docker Hub. You can pull the image using:

  docker pull praveendecode/retail-sales-forecast:latest

# Skills Covered:

  - Python, NumPy, Pandas, Seaborn, Matplotlib, Google Colab

  - Tableau for data visualization

  - Machine Learning frameworks (scikit-learn)

  - Streamlit for web application deployment

  - Docker for containerization

  - Azure ML for model deployment

  - GitHub for version control and collaborative coding

# Results:

  - Uncovered key relationships through EDA for informed decision-making.

  - Enhanced model interpretability using visualized feature importance.

  - Achieved 98% accuracy in model inference for reliable predictions

    

# Visit Main Project Github Repo : [View]( https://github.com/praveendecode/Retail-Revenue-Forecasting)