> For the complete documentation index, see [llms.txt](https://mondrian.gitbook.io/yennefer-single/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://mondrian.gitbook.io/yennefer-single/eng-yennefer-labs-s1.4.0/expert-features/try-various-features/2.-use-matlab.md).

# 2. Use MATLAB

![](/files/RojWZMZx7J6LwFcLTWXT)

MATLAB provides machine learning examples, data analysis and modeling. Try it through the guide below!

### How to use

<figure><img src="/files/vJEi4IWjSVKMKR48Dhfz" alt=""><figcaption></figcaption></figure>

1. Click **"New Project"** in Yennefer Studio..

<figure><img src="/files/MR6YgJT2lWwvO3udjCe3" alt=""><figcaption></figcaption></figure>

2\. 프로젝트 제목 및 상세 설명을 작성하고 다음을 클릭합니다.

![](/files/SupWBWSfUEMCtgrz7x9N)

3\. Choose a container.\
&#x20;   For CPU container, choose **matlab\_base\_cpu**\
&#x20;    For GPU containers, choose **matlab\_base\_gpu**

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<figure><img src="/files/rd0eNgs8uJWs7YCXMBcD" alt=""><figcaption></figcaption></figure>

&#x20; 4\. After creating the project, run the server and click MATLAB in the Launcher.

![](/files/0dbzZtOHImhKuYoLYkzk)

5\. The login page opens in a new window, and you can start your research right away by entering your MATLAB account and accessing it.

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