| key | value |
|---|---|
| id | 246455669 |
| name | Kata-Clean-Machine-Learning-From-Dirty-Code |
| full_name | Neuraxio/Kata-Clean-Machine-Learning-From-Dirty-Code |
| html_url | https://github.com/Neuraxio/Kata-Clean-Machine-Learning-From-Dirty-Code |
| description | A coding exercise: let's convert dirty machine learning code into clean code using a Pipeline - which is the Pipe and Filter Design Pattern applied to Machine Learning. |
| created_at | March 11, 2020, 2:26 a.m. |
| updated_at | Aug. 23, 2024, 7:34 p.m. |
| pushed_at | Nov. 3, 2022, 11:59 p.m. |
| size | 351 |
| stargazers_count | 18 |
| watchers_count | 3 |
| forks_count | 6 |
| open_issues | 1 |
| language | Jupyter Notebook |
| awesome_list |
https://github.com/guillaume-chevalier/Awesome-Deep-Learning-Resources |