https://github.com/yandexdataschool/mlatimperial2022
https://github.com/yandexdataschool/mlatimperial2022
Last synced: 2 months ago
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- Host: GitHub
- URL: https://github.com/yandexdataschool/mlatimperial2022
- Owner: yandexdataschool
- Created: 2022-01-14T11:24:10.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2022-02-04T10:55:29.000Z (over 3 years ago)
- Last Synced: 2025-03-24T16:11:25.534Z (3 months ago)
- Language: Jupyter Notebook
- Size: 70.6 MB
- Stars: 5
- Watchers: 15
- Forks: 9
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Machine Learning & Deep Learning Course at ICL
[Open available labs in Colab](https://colab.research.google.com/github/yandexdataschool/MLatImperial2022)
## Feedback
[Text your feedback here](https://docs.google.com/document/d/1tBALlnoaxBQLUCEO6bhgVKyiymK7lnzp5DtA3StBOao/edit?usp=sharing)
## Prerequisites
Please familiarize yourself with the [following brief introduction to Python and Google Colab](https://colab.research.google.com/github/yandexdataschool/MLatImperial2022/blob/master/Seminars/00-Welcome.ipynb) **prior to the start of the course**. It covers briefly the main syntax of python programming language, that we'll use throughtout the course.
Alternatively you can open `Seminars/00-Welcome.ipynb` locally on your computer via `Jupyter notebook`.
To learn how to download materials from this page, install python, run jupyter notebook locally, please read [HowTo materials](HowTo.md).
## Contacts
### Lecturer:
- [Victor Kitov](mailto:[email protected]), better text via Telegram app @VictorKitov.
### Practical session instructors:
- week 1: [Irina Kitova](mailto:[email protected]), better text via Telegram app @irina_kitova
- week 2, 1st competition: [Alexander Ustyuzhanin](mailto:[email protected])
- 2nd competition: [Sergey Korpachev](mailto:[email protected])