Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/isadrtdinov/lightautoml-course
Materials for LightAutoML online course
https://github.com/isadrtdinov/lightautoml-course
Last synced: about 5 hours ago
JSON representation
Materials for LightAutoML online course
- Host: GitHub
- URL: https://github.com/isadrtdinov/lightautoml-course
- Owner: isadrtdinov
- Created: 2023-06-16T13:25:13.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2023-06-19T10:38:57.000Z (over 1 year ago)
- Last Synced: 2024-05-22T00:06:24.775Z (6 months ago)
- Language: Jupyter Notebook
- Size: 2.95 MB
- Stars: 4
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Материалы онлайн-курса по LightAutoML (LAMA)
## Ноутбуки:
- Введение в LightAutoML (видео 1.4): [ноутбук](https://github.com/isadrtdinov/LightAutoML-course/blob/main/notebooks/RUS/1.4-Introduction-RUS.ipynb)
- Отчеты с ReportDeco (видео 2.1): [ноутбук](https://github.com/isadrtdinov/LightAutoML-course/blob/main/notebooks/RUS/2.1-ReportDeco-RUS.ipynb)
- Мониторинг (видео 2.2): [ноутбук](https://github.com/isadrtdinov/LightAutoML-course/blob/main/notebooks/RUS/2.2-Monitoring-RUS.ipynb)
- ICE и PDP (видео 2.4): [ноутбук](https://github.com/isadrtdinov/LightAutoML-course/blob/main/notebooks/RUS/2.4-ICE-PDP-RUS.ipynb)
- Компьютерное зрение (CV) (видео 3.2): [ноутбук](https://github.com/isadrtdinov/LightAutoML-course/blob/main/notebooks/RUS/3.2-CV-RUS.ipynb)
- Обработка естественного языка (NLP) (видео 3.3): [ноутбук](https://github.com/isadrtdinov/LightAutoML-course/blob/main/notebooks/RUS/3.3-NLP-RUS.ipynb)
- Uplift-моделирование (видео 3.5): [ноутбук](https://github.com/isadrtdinov/LightAutoML-course/blob/main/notebooks/RUS/3.5-UpliftModeling-RUS.ipynb)
- Кастомизация пайплайнов LightAutoML (видео 4.1): [ноутбук](https://github.com/isadrtdinov/LightAutoML-course/blob/main/notebooks/RUS/4.1-CustomPipeline-RUS.ipynb)# LightAutoML (LAMA) online course materials
## Notebooks:
- Introduction to LightAutoML (video 1.4): [notebook](https://github.com/isadrtdinov/LightAutoML-course/blob/main/notebooks/ENG/1.4-Introduction-ENG.ipynb)
- Reports with ReportDeco (video 2.1): [notebook](https://github.com/isadrtdinov/LightAutoML-course/blob/main/notebooks/ENG/2.1-ReportDeco-ENG.ipynb)
- Monitoring (video 2.2): [notebook](https://github.com/isadrtdinov/LightAutoML-course/blob/main/notebooks/ENG/2.2-Monitoring-ENG.ipynb)
- ICE & PDP (video 2.4): [notebook](https://github.com/isadrtdinov/LightAutoML-course/blob/main/notebooks/ENG/2.4-ICE-PDP-ENG.ipynb)
- Computer Vision (CV) (video 3.2): [notebook](https://github.com/isadrtdinov/LightAutoML-course/blob/main/notebooks/ENG/3.2-CV-ENG.ipynb)
- Natural Language Processing (NLP) (video 3.3): [notebook](https://github.com/isadrtdinov/LightAutoML-course/blob/main/notebooks/ENG/3.3-NLP-ENG.ipynb)
- Uplift modeling (video 3.5): [notebook](https://github.com/isadrtdinov/LightAutoML-course/blob/main/notebooks/ENG/3.5-UpliftModeling-ENG.ipynb)
- Custom pipelines in LightAutoML (video 4.1): [notebook](https://github.com/isadrtdinov/LightAutoML-course/blob/main/notebooks/ENG/4.1-CustomPipeline-ENG.ipynb)