https://github.com/strvcom/ds-academy
Home for materials used during the STRV Data Science Academy.
https://github.com/strvcom/ds-academy
course course-materials data-science machine-learning python
Last synced: 6 months ago
JSON representation
Home for materials used during the STRV Data Science Academy.
- Host: GitHub
- URL: https://github.com/strvcom/ds-academy
- Owner: strvcom
- License: mit
- Created: 2022-06-30T07:47:42.000Z (over 3 years ago)
- Default Branch: master
- Last Pushed: 2024-06-10T19:37:05.000Z (over 1 year ago)
- Last Synced: 2025-03-23T20:22:08.558Z (7 months ago)
- Topics: course, course-materials, data-science, machine-learning, python
- Language: Jupyter Notebook
- Homepage: https://strvcom.github.io/ds-academy/
- Size: 34 MB
- Stars: 3
- Watchers: 6
- Forks: 6
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# STRV Data Science Academy
> 📖️ The repository contains materials used during the STRV Data Science Academy
STRV is pleased to offer this 7-week intensive course as part of
our [STRV Academy](https://www.strv.com/blog/everything-you-need-to-know-about-the-strv-academy-inside-strv).
During the course, you will learn to apply plenty of practical and theoretical skills needed for developing and
completing your own End-to-End Machine Learning Projects. You will gain practical knowledge and hands-on experience
with applied ML techniques and an intuitive understanding of what can be achieved through ML and what its
limitations are.
**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).
> ✏️ 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
> feedback. If there is a bug or mistake in the implementation, please create an issue on GitHub.
## How to Use this Course
- Learn more
about [STRV Academy](https://www.strv.com/blog/everything-you-need-to-know-about-the-strv-academy-inside-strv)
- All essential materials and information (such as code, theory, guides, and links to resources) are distributed in the
form of a [handbook](https://strvcom.github.io/ds-academy)
- Follow the [Setup](#setup) to be able to create an environment for code execution
> ⚠️ There might be some formatting issues when running notebooks. We use a special Markdown
> to generate the handbook.
## Setup
The code was tested with [conda](https://docs.conda.io/en/latest/) running on Mackbook M1 (ARM-based CPU). It is
generally harder to get Python things running on M1, so the experience on Linux-like and Windows systems should be
smoother.
To get your environment up and running for this course, we prepared
a [guide](https://strvcom.github.io/ds-academy/lectures/00_start/environment-setup.html) describing all the necessary
steps to replicate our environment.
## How Can I Contribute?
First off, thanks for taking the time to contribute! 🎉👍 As a participant in the course, there are several things
you can help us with.
> ✏️ If you are an author, refer to the [development section](development/README.md).
### Reporting Bugs
Bugs are tracked as [GitHub issues](https://guides.github.com/features/issues/). Before creating bug reports, please
check open issues first, as you might find that you don't need to create one. When creating a bug report, please
include as many details as possible. Please fill out the [required template](development/bug_report.md); the information
it asks for helps us resolve issues faster.
### Suggesting Enhancements
Enhancement suggestions are tracked as [GitHub issues](https://guides.github.com/features/issues/). Before creating
enhancement suggestions, please check open issues first, as you might find that you don't need to create one. When
creating an enhancement suggestion, please include as many details as possible. Fill in
the [template](development/feature_request.md), including the steps you imagine you would take if the feature you're
requesting existed.
## License
[MIT](LICENSE)