quickstart.md

Getting started with {{ ml-platform-name }}

{{ ml-platform-full-name }} is an end-to-end ML development environment where you can use familiar IDEs, serverless computing technology, and seamlessly combine a broad range of {{ yandex-cloud }} computing resource configurations. {{ ml-platform-full-name }} is part of the data platform and offers powerful features to easily work with {{ yandex-cloud }} services. As an IDE, {{ ml-platform-name }} provides {{ jlab }}® Notebook.

In this section, you will learn how to:

1. Create projects.
2. Run projects.
3. Configure the environment.
4. Upload data to projects.
5. Start training.
6. Share your results.

Getting started {#before-you-begin}

1. Go to the [management console]({{ link-console-main }}) and log in to {{ yandex-cloud }} or sign up if not signed up yet.
2. Go to [{{ billing-name }}]({{ link-console-billing }}) and make sure you have a billing account linked and it has the ACTIVE or TRIAL_ACTIVE status. If you do not have a billing account yet, create one.
3. Open the {{ ml-platform-name }} [home page]({{ link-datasphere-main }}).
4. Accept the user agreement.
5. Select the organization to work with {{ ml-platform-name }} in or create a new one.

Create a project {#create-project}

{% include create-project %}

Run the project {#start-project}

{% include start-project %}

Configure the environment {#install-dependencies}

{% include install-dependencies-intro %}

{% include install-dependencies-steps %}

You can also configure the environment to run your code using Docker images.

Upload data to the project {#download-data}

{% include download-data %}

Start training {#start-ml}

{% include start-ml %}

What's next {#what-is-next}

• Learn about service features.
• See other service guides.
• Deploy the trained model as a service.