{"id":38697209,"url":"https://github.com/trainindata/forecasting-with-machine-learning","last_synced_at":"2026-01-17T10:42:01.080Z","repository":{"id":221004340,"uuid":"736574002","full_name":"trainindata/forecasting-with-machine-learning","owner":"trainindata","description":"Code repository for the course \"Forecasting with Machine Learning Models\"","archived":false,"fork":false,"pushed_at":"2025-03-12T01:17:02.000Z","size":18971,"stargazers_count":20,"open_issues_count":0,"forks_count":10,"subscribers_count":3,"default_branch":"main","last_synced_at":"2025-03-12T02:24:03.768Z","etag":null,"topics":["forecasting","machine-learning","time-series"],"latest_commit_sha":null,"homepage":"https://www.trainindata.com/p/forecasting-with-machine-learning","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/trainindata.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":"2023-12-28T09:18:53.000Z","updated_at":"2025-03-12T01:09:23.000Z","dependencies_parsed_at":"2025-03-12T02:32:24.271Z","dependency_job_id":null,"html_url":"https://github.com/trainindata/forecasting-with-machine-learning","commit_stats":null,"previous_names":["trainindata/forecasting-with-machine-learning"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/trainindata/forecasting-with-machine-learning","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/trainindata%2Fforecasting-with-machine-learning","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/trainindata%2Fforecasting-with-machine-learning/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/trainindata%2Fforecasting-with-machine-learning/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/trainindata%2Fforecasting-with-machine-learning/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/trainindata","download_url":"https://codeload.github.com/trainindata/forecasting-with-machine-learning/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/trainindata%2Fforecasting-with-machine-learning/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28506593,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-01-17T10:25:30.148Z","status":"ssl_error","status_checked_at":"2026-01-17T10:25:29.718Z","response_time":85,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.6:443 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":["forecasting","machine-learning","time-series"],"created_at":"2026-01-17T10:42:00.878Z","updated_at":"2026-01-17T10:42:01.067Z","avatar_url":"https://github.com/trainindata.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"![PythonVersion](https://img.shields.io/badge/python-3.9%20%20|%203.10%20|%203.11%20|3.12%20-success)\n[![License https://github.com/trainindata/forecasting-with-machine-learning/blob/master/LICENSE](https://img.shields.io/badge/license-BSD-success.svg)](https://github.com/trainindata/forecasting-with-machine-learning/blob/master/LICENSE)\n[![Sponsorship https://www.trainindata.com/](https://img.shields.io/badge/Powered%20By-TrainInData-orange.svg)](https://www.trainindata.com/)\n\n## Machine Learning Interpretability- Code Repository\n\nCode repository for the online course [Forecasting with Machine Learning](https://www.trainindata.com/p/forecasting-with-machine-learning)\n\n**Course Launch: March, 2024**\n\nActively maintained.\n\n[\u003cimg src=\"./FWML-Logo.png\" width=\"248\"\u003e](https://www.trainindata.com/p/forecasting-with-machine-learning)\n\n## Table of Contents\n\n1. **Time Series as a regression**\n\t1. Time series forecasting\n\t2. Forecasting as regression\n\t3. Tabularizing time series\n\t4. Endogenous and exogenous variables\n\n2. **Forecasting strategies**\n\t1. Single step forecasting\n\t2. Multiple step forecasting\n\t3. Direct forecasting\n\t4. Recursive forecasting\n\n3. **Multi series forecasting**\n\t1. Global vs local forecasting\n\t2. Multiseries forecasting models\n\t3. Independent time series forecasting\n\t4. Dependent time series forecasting\n\n4. **Backtesting**\n\t1. Backtesting with or without refit\n\t2. Backtesting with rolling or expanding windows\n\t3. Backtesting with intermitent refit.\n\n\n## Links\n\n- [Online Course](https://www.trainindata.com/p/forecasting-with-machine-learning)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftrainindata%2Fforecasting-with-machine-learning","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftrainindata%2Fforecasting-with-machine-learning","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftrainindata%2Fforecasting-with-machine-learning/lists"}