fix: remove outdated lab picture

Author: razvan

docs/modules/demos/images/jupyterhub-pyspark-hdfs-anomaly-detection-taxi-data/jupyter_hub_3d_isolation_forest.png

@@ -120,8 +120,6 @@ image::jupyterhub-pyspark-hdfs-anomaly-detection-taxi-data/jupyterlab_workspace.
 Now you can double-click on the `notebook` folder on the left, open and run the contained file.
 Click on the double arrow (⏩️) to execute the Python scripts (click on the image below to go to the notebook file).
 
-image::jupyterhub-pyspark-hdfs-anomaly-detection-taxi-data/jupyter_hub_run_notebook.png[link=https://github.com/stackabletech/demos/blob/main/stacks/jupyterhub-pyspark-hdfs/notebook.ipynb,window=_blank]
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 The Python notebook uses libraries such as `pandas` and `scikit-learn` to analyze the data.
 In addition, since the model training is delegated to a Spark Connect server, some of these dependencies, most notably `scikit-learn`, must also be made available on the Spark Connect pods.
 For convenience, a custom image is used in this demo that bundles all the required libraries for both the notebook and the Spark Connect server.