{"id":26795938,"url":"https://github.com/shortthirdman/timeseriesforecastinganalysis","last_synced_at":"2025-03-29T18:16:33.973Z","repository":{"id":285111195,"uuid":"957072914","full_name":"shortthirdman/TimeSeriesForecastingAnalysis","owner":"shortthirdman","description":"Tools and methods for analyzing and forecasting time series data using various machine learning and statistical techniques.","archived":false,"fork":false,"pushed_at":"2025-03-29T16:19:38.000Z","size":101,"stargazers_count":0,"open_issues_count":1,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-03-29T16:22:06.397Z","etag":null,"topics":["data-science","jupyter-notebook","python3","time-series-analysis","time-series-forecasting"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/shortthirdman.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","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":"2025-03-29T13:45:57.000Z","updated_at":"2025-03-29T16:16:11.000Z","dependencies_parsed_at":"2025-03-29T16:22:09.069Z","dependency_job_id":"59a9989b-117a-442a-b601-07473fffc0ba","html_url":"https://github.com/shortthirdman/TimeSeriesForecastingAnalysis","commit_stats":null,"previous_names":["shortthirdman/timeseriesforecastinganalysis"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/shortthirdman%2FTimeSeriesForecastingAnalysis","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/shortthirdman%2FTimeSeriesForecastingAnalysis/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/shortthirdman%2FTimeSeriesForecastingAnalysis/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/shortthirdman%2FTimeSeriesForecastingAnalysis/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/shortthirdman","download_url":"https://codeload.github.com/shortthirdman/TimeSeriesForecastingAnalysis/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":246223325,"owners_count":20743168,"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":["data-science","jupyter-notebook","python3","time-series-analysis","time-series-forecasting"],"created_at":"2025-03-29T18:16:33.273Z","updated_at":"2025-03-29T18:16:33.966Z","avatar_url":"https://github.com/shortthirdman.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# TimeSeriesForecastingAnalysis\n\nTools and methods for analyzing and forecasting time series data using various machine learning and statistical techniques.\n\n[![Made withJupyter](https://img.shields.io/badge/Made%20with-Jupyter-orange?style=for-the-badge\u0026logo=Jupyter)](https://jupyter.org/try)\t![GitHub License](https://img.shields.io/github/license/shortthirdman/TimeSeriesForecastingAnalysis?style=for-the-badge)\t![GitHub code size in bytes](https://img.shields.io/github/languages/code-size/shortthirdman/TimeSeriesForecastingAnalysis?style=for-the-badge)\t![GitHub repo size](https://img.shields.io/github/repo-size/shortthirdman/TimeSeriesForecastingAnalysis?style=for-the-badge)\n\n## Development\n\n  - Create a Python virtual environment and activate\n\t\n\t```shell\n\t$ python -m venv dev\n\t$ ./dev/Scripts/activate\n\t$ export PIP_CONFIG_FILE=\".\\pip.conf\"\n\t```\n\n  - Install the packages and dependencies as listed in requirements file\n\t\n\t```shell\n\t$ python -m pip install --upgrade pip\n\t$ pip install -U -r requirements.txt --no-cache-dir --disable-pip-version-check\n\t```\n\n  - Start your development `Jupyter Notebook` or `Jupyter Lab` server\n\t\n\t```shell\n\t$ jupyter lab --notebook-dir=.\\notebooks --no-browser\n\t```\n\n---","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fshortthirdman%2Ftimeseriesforecastinganalysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fshortthirdman%2Ftimeseriesforecastinganalysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fshortthirdman%2Ftimeseriesforecastinganalysis/lists"}