{"id":22767015,"url":"https://github.com/muthukumar0908/final_retail_sales_forecast","last_synced_at":"2026-05-16T22:08:37.434Z","repository":{"id":216774390,"uuid":"742302925","full_name":"Muthukumar0908/Final_retail_sales_forecast","owner":"Muthukumar0908","description":"In this project Utilizing advanced time series forecasting models, successfully predicted department-wide sales for each store for the upcoming year and Visualizing the data in streamlit GUI.","archived":false,"fork":false,"pushed_at":"2024-02-16T13:28:33.000Z","size":622,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-07-23T02:44:37.966Z","etag":null,"topics":["datawarehousing","eda","modelbuilding","python","pythonscraping","streamlit-webapp"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","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/Muthukumar0908.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":"2024-01-12T07:12:42.000Z","updated_at":"2024-02-24T13:42:00.000Z","dependencies_parsed_at":"2024-01-21T14:27:04.320Z","dependency_job_id":"3c85756a-cf70-4bdd-9545-9e1022d0d245","html_url":"https://github.com/Muthukumar0908/Final_retail_sales_forecast","commit_stats":null,"previous_names":["muthukumar0908/final_retail_sales_forecast"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Muthukumar0908/Final_retail_sales_forecast","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Muthukumar0908%2FFinal_retail_sales_forecast","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Muthukumar0908%2FFinal_retail_sales_forecast/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Muthukumar0908%2FFinal_retail_sales_forecast/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Muthukumar0908%2FFinal_retail_sales_forecast/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Muthukumar0908","download_url":"https://codeload.github.com/Muthukumar0908/Final_retail_sales_forecast/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Muthukumar0908%2FFinal_retail_sales_forecast/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":33120484,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-16T18:38:32.183Z","status":"ssl_error","status_checked_at":"2026-05-16T18:38:29.903Z","response_time":115,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"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":["datawarehousing","eda","modelbuilding","python","pythonscraping","streamlit-webapp"],"created_at":"2024-12-11T13:16:38.948Z","updated_at":"2026-05-16T22:08:37.419Z","avatar_url":"https://github.com/Muthukumar0908.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Final_retail_sales_forecast\n\n**Capstone Final Project assigned by Guvi**\n\n**Project title:** Final-Retail-Sales-Forecasting\n\n**Skills take away From This Project:** Python scripting, Data Wrangling, EDA, Model Building, Streamlit.\n\n**Domain:** upermarkets, Chain and Convenience Stores.\n\n**Problem Statement:** Predict the department-wide sales for each store for the following year and the Model effects of markdowns on holiday weeks.\n\n**Results:** In this project Utilizing advanced time series forecasting models, successfully predicted department-wide sales for each store for the upcoming year. The forecasting model considered historical sales data, seasonality patterns, and other relevant factors to provide accurate and reliable predictions\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmuthukumar0908%2Ffinal_retail_sales_forecast","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmuthukumar0908%2Ffinal_retail_sales_forecast","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmuthukumar0908%2Ffinal_retail_sales_forecast/lists"}