{"id":21511993,"url":"https://github.com/strvcom/ds-academy","last_synced_at":"2025-04-09T18:21:22.426Z","repository":{"id":41278427,"uuid":"508983157","full_name":"strvcom/ds-academy","owner":"strvcom","description":"Home for materials used during the STRV Data Science Academy.","archived":false,"fork":false,"pushed_at":"2024-06-10T19:37:05.000Z","size":35620,"stargazers_count":3,"open_issues_count":2,"forks_count":6,"subscribers_count":6,"default_branch":"master","last_synced_at":"2025-03-23T20:22:08.558Z","etag":null,"topics":["course","course-materials","data-science","machine-learning","python"],"latest_commit_sha":null,"homepage":"https://strvcom.github.io/ds-academy/","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/strvcom.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":"2022-06-30T07:47:42.000Z","updated_at":"2024-10-16T11:42:32.000Z","dependencies_parsed_at":"2024-11-23T22:34:59.555Z","dependency_job_id":null,"html_url":"https://github.com/strvcom/ds-academy","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/strvcom%2Fds-academy","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/strvcom%2Fds-academy/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/strvcom%2Fds-academy/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/strvcom%2Fds-academy/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/strvcom","download_url":"https://codeload.github.com/strvcom/ds-academy/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248085494,"owners_count":21045168,"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":["course","course-materials","data-science","machine-learning","python"],"created_at":"2024-11-23T22:24:49.373Z","updated_at":"2025-04-09T18:21:22.407Z","avatar_url":"https://github.com/strvcom.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# STRV Data Science Academy\n\n\u003e 📖️ The repository contains materials used during the STRV Data Science Academy\n\nSTRV is pleased to offer this 7-week intensive course as part of\nour [STRV Academy](https://www.strv.com/blog/everything-you-need-to-know-about-the-strv-academy-inside-strv).\nDuring the course, you will learn to apply plenty of practical and theoretical skills needed for developing and\ncompleting your own End-to-End Machine Learning Projects. You will gain practical knowledge and hands-on experience\nwith applied ML techniques and an intuitive understanding of what can be achieved through ML and what its\nlimitations are.\n\n**Hearty thanks to our authors**: [Jan Maly](https://github.com/honzaMaly), [Niek Mereu](https://github.com/niekstrv), [Lukas Koucky](https://github.com/lukoucky), and [Jaroslav Bezdek](https://github.com/jardabezdek).\n\n\u003e ✏️ This is the very first run of our DS Academy. We want to make the Academy tremendous, so we will ask for a lot of\n\u003e feedback. If there is a bug or mistake in the implementation, please create an issue on GitHub.\n\n## How to Use this Course\n\n- Learn more\n  about [STRV Academy](https://www.strv.com/blog/everything-you-need-to-know-about-the-strv-academy-inside-strv)\n- All essential materials and information (such as code, theory, guides, and links to resources) are distributed in the\n  form of a [handbook](https://strvcom.github.io/ds-academy)\n- Follow the [Setup](#setup) to be able to create an environment for code execution\n\n\u003e ⚠️ There might be some formatting issues when running notebooks. We use a special Markdown\n\u003e to generate the handbook.\n\n## Setup\n\nThe code was tested with [conda](https://docs.conda.io/en/latest/) running on Mackbook M1 (ARM-based CPU). It is\ngenerally harder to get Python things running on M1, so the experience on Linux-like and Windows systems should be\nsmoother.\n\nTo get your environment up and running for this course, we prepared\na [guide](https://strvcom.github.io/ds-academy/lectures/00_start/environment-setup.html) describing all the necessary\nsteps to replicate our environment.\n\n## How Can I Contribute?\n\nFirst off, thanks for taking the time to contribute! 🎉👍 As a participant in the course, there are several things\nyou can help us with.\n\n\u003e ✏️ If you are an author, refer to the [development section](development/README.md).\n\n### Reporting Bugs\n\nBugs are tracked as [GitHub issues](https://guides.github.com/features/issues/). Before creating bug reports, please\ncheck open issues first, as you might find that you don't need to create one. When creating a bug report, please\ninclude as many details as possible. Please fill out the [required template](development/bug_report.md); the information\nit asks for helps us resolve issues faster.\n\n### Suggesting Enhancements\n\nEnhancement suggestions are tracked as [GitHub issues](https://guides.github.com/features/issues/). Before creating\nenhancement suggestions, please check open issues first, as you might find that you don't need to create one. When\ncreating an enhancement suggestion, please include as many details as possible. Fill in\nthe [template](development/feature_request.md), including the steps you imagine you would take if the feature you're\nrequesting existed.\n\n## License\n\n[MIT](LICENSE)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fstrvcom%2Fds-academy","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fstrvcom%2Fds-academy","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fstrvcom%2Fds-academy/lists"}