{"id":19680101,"url":"https://github.com/blleshi/growth_revenue_model","last_synced_at":"2026-05-15T19:33:20.738Z","repository":{"id":242728030,"uuid":"810396344","full_name":"blleshi/Growth_Revenue_Model","owner":"blleshi","description":"Growth Revenue Model","archived":false,"fork":false,"pushed_at":"2024-08-07T17:48:11.000Z","size":1989,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-11-20T19:24:45.243Z","etag":null,"topics":["data-mining","exponentially-weighted-averages","growth-analysis","hvplot","prophet-model","return-on-investment","revenue-forecast","roi","stock-price-patterns","stock-volatility","time-series-correlation","time-series-model"],"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/blleshi.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":"2024-06-04T16:00:34.000Z","updated_at":"2024-08-07T17:51:21.000Z","dependencies_parsed_at":"2024-06-04T18:03:48.407Z","dependency_job_id":"e5c65f1c-cac0-45e0-971b-7e7c0fc195cb","html_url":"https://github.com/blleshi/Growth_Revenue_Model","commit_stats":null,"previous_names":["blleshi/module-11-challenge","blleshi/growth_revenue_model"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/blleshi/Growth_Revenue_Model","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/blleshi%2FGrowth_Revenue_Model","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/blleshi%2FGrowth_Revenue_Model/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/blleshi%2FGrowth_Revenue_Model/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/blleshi%2FGrowth_Revenue_Model/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/blleshi","download_url":"https://codeload.github.com/blleshi/Growth_Revenue_Model/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/blleshi%2FGrowth_Revenue_Model/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":33076207,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-15T11:35:32.926Z","status":"ssl_error","status_checked_at":"2026-05-15T11:35:31.362Z","response_time":103,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 state=error: 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":["data-mining","exponentially-weighted-averages","growth-analysis","hvplot","prophet-model","return-on-investment","revenue-forecast","roi","stock-price-patterns","stock-volatility","time-series-correlation","time-series-model"],"created_at":"2024-11-11T18:03:59.289Z","updated_at":"2026-05-15T19:33:20.718Z","avatar_url":"https://github.com/blleshi.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"## Growth Revenue Model\nThis notebook (from Google Colab) contains data preparation, analysis, and visualizations for all the time series data that the company needs to understand for growth revenue. Notebook contains the following:\n\n1. Visual depictions of seasonality (as measured by Google Search traffic) that are of interest to the company.\n\n2. An evaluation of how the company stock price correlates to its Google Search traffic.\n\n3. A Prophet forecast model that can predict hourly user search traffic.\n\n4. Answers to the questions in the instructions that you write in your Jupyter notebook.\n\n5. (Optional) A plot of a forecast for the company’s future revenue.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fblleshi%2Fgrowth_revenue_model","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fblleshi%2Fgrowth_revenue_model","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fblleshi%2Fgrowth_revenue_model/lists"}