{"id":23117803,"url":"https://github.com/praveendecode/docker-rfs","last_synced_at":"2026-05-08T14:48:02.128Z","repository":{"id":209462636,"uuid":"724124320","full_name":"praveendecode/Docker-rfs","owner":"praveendecode","description":"These visuals predict weekly sales prices for the upcoming year, serving as a valuable tool for forecasting ","archived":false,"fork":false,"pushed_at":"2023-12-21T12:20:32.000Z","size":7,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-04T02:11:45.054Z","etag":null,"topics":["containers","docker","docker-image","dockerfile","python"],"latest_commit_sha":null,"homepage":"https://hub.docker.com/repositories/praveendecode","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/praveendecode.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2023-11-27T12:55:43.000Z","updated_at":"2023-11-27T13:14:00.000Z","dependencies_parsed_at":"2023-11-27T14:26:14.112Z","dependency_job_id":"26fd5402-9e4e-47f7-aa0f-764fa5daf3e6","html_url":"https://github.com/praveendecode/Docker-rfs","commit_stats":null,"previous_names":["praveendecode/docker-rfs"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/praveendecode/Docker-rfs","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/praveendecode%2FDocker-rfs","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/praveendecode%2FDocker-rfs/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/praveendecode%2FDocker-rfs/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/praveendecode%2FDocker-rfs/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/praveendecode","download_url":"https://codeload.github.com/praveendecode/Docker-rfs/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/praveendecode%2FDocker-rfs/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":261263492,"owners_count":23132555,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["containers","docker","docker-image","dockerfile","python"],"created_at":"2024-12-17T04:30:11.289Z","updated_at":"2026-05-08T14:47:57.095Z","avatar_url":"https://github.com/praveendecode.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":" # Docker Image For Retail Revenue Forecasting\n\n![image](https://github.com/praveendecode/Docker-rfs/assets/95226524/dcf24d6b-1dfb-4be0-b17f-a15575ecedc7)\n\n\n\n\n\n# Overview:\nThis 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\n\n# Getting Started:\n\n- To begin, clone the project repository to your local machine.\n   git clone https://github.com/your_username/retail-sales-forecasting.git\n   cd retail-sales-forecasting\n\n# Main Features of the Project:\n\n- Predict department-wide sales, considering holiday markdown effects.\n- Interactive Tableau dashboard for insightful visualizations.\n- Machine learning model for accurate weekly sales predictions.\n- Streamlit web app deployment for user-friendly access.\n\n# Process Steps for Docker:\n\n- Build Docker Image:\n  docker build -t retail-sales-forecasting .\n  \n- Run Docker Container:\n  docker run -it retail-sales-forecasting\n\n# Docker Hub Access:\n- Docker images for this project are available on Docker Hub. You can pull the image using:\n  docker pull praveendecode/retail-sales-forecast:latest\n\n# Skills Covered:\n\n  - Python, NumPy, Pandas, Seaborn, Matplotlib, Google Colab\n  - Tableau for data visualization\n  - Machine Learning frameworks (scikit-learn)\n  - Streamlit for web application deployment\n  - Docker for containerization\n  - Azure ML for model deployment\n  - GitHub for version control and collaborative coding\n\n# Results:\n\n  - Uncovered key relationships through EDA for informed decision-making.\n  - Enhanced model interpretability using visualized feature importance.\n  - Achieved 98% accuracy in model inference for reliable predictions\n    \n# Visit Main Project Github Repo : [View]( https://github.com/praveendecode/Retail-Revenue-Forecasting)\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpraveendecode%2Fdocker-rfs","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpraveendecode%2Fdocker-rfs","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpraveendecode%2Fdocker-rfs/lists"}