# hse-aml/competitive-data-science

<https://repo.masters-masters.com/en/repos/hse-aml/competitive-data-science>

[Home](https://repo.masters-masters.com/en) › [hse-aml](https://repo.masters-masters.com/en/owners/hse-aml) › [competitive-data-science](https://repo.masters-masters.com/en/repos/hse-aml/competitive-data-science)

hse-aml/competitive-data-science has 654 stars on GitHub. Its RepoMasters card: Alpha tier. Materials for "How to Win a Data Science Competition: Learn from…

| Field | Value |
| --- | --- |
| Owner | [hse-aml](https://repo.masters-masters.com/en/owners/hse-aml) |
| Stars | 654 |
| Forks | 602 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | None |
| Created | 2017 |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [hse-aml/competitive-data-science](https://github.com/hse-aml/competitive-data-science) |

## Repository

Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

## More repos by hse-aml

- [hse-aml/natural-language-processing · ★ 1,190 · Jupyter Notebook · Beta](https://repo.masters-masters.com/en/repos/hse-aml/natural-language-processing)
- [hse-aml/intro-to-dl · ★ 752 · Jupyter Notebook · Beta](https://repo.masters-masters.com/en/repos/hse-aml/intro-to-dl)
- [hse-aml/bayesian-methods-for-ml · ★ 139 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/hse-aml/bayesian-methods-for-ml)

## Nearby in Jupyter Notebook

- [qiguming/MLAPP\_CN\_CODE · ★ 655 · Jupyter Notebook · Alpha](https://repo.masters-masters.com/en/repos/qiguming/MLAPP_CN_CODE)
- [Ryota-Kawamura/Generative-AI-with-LLMs · ★ 655 · Jupyter Notebook · Alpha](https://repo.masters-masters.com/en/repos/Ryota-Kawamura/Generative-AI-with-LLMs)
- [NeuromatchAcademy/precourse · ★ 654 · Jupyter Notebook · Alpha](https://repo.masters-masters.com/en/repos/NeuromatchAcademy/precourse)
- [CornellNLP/ConvoKit · ★ 653 · Jupyter Notebook · Alpha](https://repo.masters-masters.com/en/repos/CornellNLP/ConvoKit)
- [ankurtaly/Integrated-Gradients · ★ 653 · Jupyter Notebook · Alpha](https://repo.masters-masters.com/en/repos/ankurtaly/Integrated-Gradients)
- [tensorflow/tcav · ★ 653 · Jupyter Notebook · Alpha](https://repo.masters-masters.com/en/repos/tensorflow/tcav)

---
Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.