diff --git a/content/codespaces/developing-in-a-codespace/getting-started-with-github-codespaces-for-machine-learning.md b/content/codespaces/developing-in-a-codespace/getting-started-with-github-codespaces-for-machine-learning.md
index 4973894367..bb31d23f79 100644
--- a/content/codespaces/developing-in-a-codespace/getting-started-with-github-codespaces-for-machine-learning.md
+++ b/content/codespaces/developing-in-a-codespace/getting-started-with-github-codespaces-for-machine-learning.md
@@ -34,7 +34,7 @@ A codespace for this template will open in a web-based version of {% data variab
 
 ### Opening the image classifier notebook
 
-The default container image that's used by {% data variables.product.prodname_github_codespaces %} includes a set of machine learning libraries that are preinstalled in your codespace. For example, Numpy, pandas, SciPy, Matplotlib, seaborn, scikit-learn, Keras, PyTorch, Requests, and Plotly. For more information about the default image, see "[AUTOTITLE](/codespaces/setting-up-your-project-for-codespaces/adding-a-dev-container-configuration/introduction-to-dev-containers#using-the-default-dev-container-configuration)" and the [devcontainers/images](https://github.com/devcontainers/images/tree/main/src/universal) repository].
+The default container image that's used by {% data variables.product.prodname_github_codespaces %} includes a set of machine learning libraries that are preinstalled in your codespace. For example, Numpy, pandas, SciPy, Matplotlib, seaborn, scikit-learn, Keras, PyTorch, Requests, and Plotly. For more information about the default image, see "[AUTOTITLE](/codespaces/setting-up-your-project-for-codespaces/adding-a-dev-container-configuration/introduction-to-dev-containers#using-the-default-dev-container-configuration)" and the [devcontainers/images](https://github.com/devcontainers/images/tree/main/src/universal) repository.
 
 1. In the {% data variables.product.prodname_vscode_shortname %} editor, close any "Get Started" tabs that are displayed.
 1. Open the `notebooks/image-classifier.ipynb` notebook file.