{"id":18096460,"url":"https://github.com/rubentea16/cheat-sheet-road-map","last_synced_at":"2026-02-04T14:33:03.068Z","repository":{"id":137537792,"uuid":"273240255","full_name":"rubentea16/cheat-sheet-road-map","owner":"rubentea16","description":"Data Science Cheatsheet and NLP Road Map","archived":false,"fork":false,"pushed_at":"2020-06-26T18:06:44.000Z","size":72398,"stargazers_count":6,"open_issues_count":0,"forks_count":4,"subscribers_count":2,"default_branch":"master","last_synced_at":"2024-12-29T09:42:32.156Z","etag":null,"topics":["data-science","machine-learning","python"],"latest_commit_sha":null,"homepage":"","language":null,"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/rubentea16.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":"roadmap/ml_roadmap.png","authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2020-06-18T13:04:16.000Z","updated_at":"2024-11-30T01:20:57.000Z","dependencies_parsed_at":null,"dependency_job_id":"07a8a906-1141-4fe6-8d98-5a495ca3963b","html_url":"https://github.com/rubentea16/cheat-sheet-road-map","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/rubentea16%2Fcheat-sheet-road-map","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rubentea16%2Fcheat-sheet-road-map/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rubentea16%2Fcheat-sheet-road-map/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rubentea16%2Fcheat-sheet-road-map/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/rubentea16","download_url":"https://codeload.github.com/rubentea16/cheat-sheet-road-map/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":239686207,"owners_count":19680483,"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","machine-learning","python"],"created_at":"2024-10-31T19:14:17.413Z","updated_at":"2026-02-04T14:33:03.042Z","avatar_url":"https://github.com/rubentea16.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# Data Science Cheat Sheet and NLP Road Map\n\n## Data Science Cheat Sheet\n- [BecomingHumanCheatSheets](cheat-sheet/BecomingHumanCheatSheets.pdf)\n- [Bokeh](cheat-sheet/bokeh.pdf)\n- [Datatable](cheat-sheet/datatable.pdf)\n- [Importing Data](cheat-sheet/importing_data.pdf)\n- [Jupyter Notebook](cheat-sheet/jupyter_notebook.pdf)\n- [Keras](cheat-sheet/keras.pdf)\n- [Matplotlib](cheat-sheet/matplotlib.pdf)\n- [Numpy](cheat-sheet/numpy.pdf)\n- [Pandas 1](cheat-sheet/pandas_1.pdf)\n- [Pandas 2](cheat-sheet/pandas_2.pdf)\n- [PySpark](cheat-sheet/pyspark.pdf)\n- [Scikit-learn](cheat-sheet/scikit-learn.pdf)\n- [Scipy](cheat-sheet/scipy.pdf)\n- [Seaborn](cheat-sheet/seaborn.pdf)\n- [Spacy](cheat-sheet/spacy.pdf)\n- [Spark SQL](cheat-sheet/spark_sql.pdf)\n- [Tidyverse](cheat-sheet/tidyverse.pdf)\n- [Xts](cheat-sheet/xts.pdf)\n- [Data Science for Business Leader](cheat-sheet/business_leader.pdf)\n\n\n## NLP Road Map\n![](img/title.png)\n\u003cp align=\"center\"\u003e\u003cimg width=\"333\" src=\"https://github.com/graykode/nlp-roadmap/raw/master/img/main.png\" /\u003e\u003c/p\u003e\n\n#### Curriculum\n- Probability and Statistics\n- Machine Learning\n- Text Mining\n- Natural Language Processing\n\n## Probability \u0026 Statistics\n![](roadmap/probstat_roadmap.png)\n\n## Machine Learning\n![](roadmap/ml_roadmap.png)\n\n## Text Mining\n![](roadmap/textmining_roadmap.png)\n\n## Natural Language Processing\n![](roadmap/nlp_roadmap.png)\n\n#### Reference\n[NLP Road Map 2019](https://github.com/graykode/nlp-roadmap)\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frubentea16%2Fcheat-sheet-road-map","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frubentea16%2Fcheat-sheet-road-map","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frubentea16%2Fcheat-sheet-road-map/lists"}