{"id":15598947,"url":"https://github.com/jofaval/xgboost-cheatsheet","last_synced_at":"2026-04-28T08:37:03.244Z","repository":{"id":125618489,"uuid":"505500761","full_name":"jofaval/xgboost-cheatsheet","owner":"jofaval","description":"Quick cheatsheet about XGBoost, a Gradient Boosted regularized technique published in 2014","archived":false,"fork":false,"pushed_at":"2022-06-30T13:44:40.000Z","size":161,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-02-04T13:19:24.500Z","etag":null,"topics":["cheatsheet","data-science","google-colab","python","xgboost","xgboost-classifier","xgboost-regressor"],"latest_commit_sha":null,"homepage":"https://colab.research.google.com/github/jofaval/xgboost-cheatsheet/blob/master/notebook.ipynb","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/jofaval.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE.md","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":"2022-06-20T15:39:10.000Z","updated_at":"2024-06-27T05:30:45.000Z","dependencies_parsed_at":null,"dependency_job_id":"b707e97f-ad94-4ffb-8e5f-6832ead1d0dd","html_url":"https://github.com/jofaval/xgboost-cheatsheet","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jofaval%2Fxgboost-cheatsheet","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jofaval%2Fxgboost-cheatsheet/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jofaval%2Fxgboost-cheatsheet/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jofaval%2Fxgboost-cheatsheet/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/jofaval","download_url":"https://codeload.github.com/jofaval/xgboost-cheatsheet/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":246180922,"owners_count":20736460,"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":["cheatsheet","data-science","google-colab","python","xgboost","xgboost-classifier","xgboost-regressor"],"created_at":"2024-10-03T01:42:13.996Z","updated_at":"2026-04-28T08:36:58.203Z","avatar_url":"https://github.com/jofaval.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# XGBoost #\n\n[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/jofaval/xgboost-cheatsheet/blob/master/notebook.ipynb)\n\n## Description\n\nJust a quick and easy cheatsheet notebook about the powerful and notorious XGBoost Machine Learning technique.\n\nIt's meant to be as an easy way to copy and paste cells to have, at least, some base from where to start, and also to grasp what was all the movement with XGBoost about\n\n## Why?\n\nJust finished my master's on Artificial Intelligence and Big Data. Browsing around XGBoost appeared as an in-demand tool used at top-tier companies and it tickled my curiousity.\n\n## Level\n\nJunior level, both the notebook and the target audience.","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjofaval%2Fxgboost-cheatsheet","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjofaval%2Fxgboost-cheatsheet","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjofaval%2Fxgboost-cheatsheet/lists"}