diff --git a/doc.zih.tu-dresden.de/docs/software/machine_learning.md b/doc.zih.tu-dresden.de/docs/software/machine_learning.md
index 6a4004ac754fc32c13a5751dfc5910f28bdc2e9e..535fcf508e725995c62efde0806a11773dae0574 100644
--- a/doc.zih.tu-dresden.de/docs/software/machine_learning.md
+++ b/doc.zih.tu-dresden.de/docs/software/machine_learning.md
@@ -44,12 +44,11 @@ marie@romeo$ module load modenv/scs5
 
 ## Machine Learning via Console
 
-
 ### Python and Virtual Environments
 
-Python users should use a [virtual environment](python_virtual_environments.md) when conducting machine learning tasks via console.
-In case of using [sbatch files](../jobs_and_resources/batch_systems.md) to send your job you usually
-don't need a virtual environment.
+Python users should use a [virtual environment](python_virtual_environments.md) when conducting
+machine learning tasks via console. In case of using [sbatch files](../jobs_and_resources/batch_systems.md)
+to send your job you usually don't need a virtual environment.
 
 For more details on machine learning or data science with Python see [here](data_analytics_with_python.md).
 
@@ -60,7 +59,6 @@ different package managment.
 
 For more details on machine learning or data science with R see [here](../data_analytics_with_r/#r-console).
 
-
 ## Machine Learning with Jupyter
 
 The [Jupyter Notebook](https://jupyter.org/) is an open-source web application that allows you to
diff --git a/doc.zih.tu-dresden.de/docs/software/tensorboard.md b/doc.zih.tu-dresden.de/docs/software/tensorboard.md
index f7b352b005197177f262e923f604d09ca07f6296..f934223a8146b65661e1bdd9070eebe487baeab4 100644
--- a/doc.zih.tu-dresden.de/docs/software/tensorboard.md
+++ b/doc.zih.tu-dresden.de/docs/software/tensorboard.md
@@ -14,7 +14,7 @@ If TensorBoard occurs in the `Included extensions` section of the output, Tensor
 
 ## Using TensorBoard
 
-To use TensorBoard, you have to connect via ssh to the ZIH system as usual, schedule an interactive 
+To use TensorBoard, you have to connect via ssh to the ZIH system as usual, schedule an interactive
 job and load a TensorFlow module:
 
 ```console
diff --git a/doc.zih.tu-dresden.de/docs/software/tensorflow.md b/doc.zih.tu-dresden.de/docs/software/tensorflow.md
index c7d2e1d574b55ecfc6f2d932fe8659643c91c693..493c6187fd290b525808b02b96182aa3df938dce 100644
--- a/doc.zih.tu-dresden.de/docs/software/tensorflow.md
+++ b/doc.zih.tu-dresden.de/docs/software/tensorflow.md
@@ -73,10 +73,9 @@ the notebook by pre-loading a specific TensorFlow module:
 ![TensorFlow module in JupyterHub](misc/tensorflow_jupyter_module.png)
 {: align="center"}
 
-
 ??? hint
     You can also define your own Jupyter kernel for more specific tasks. Please read there
-    documentation about JupyterHub, Jupyter kernels and virtual environments 
+    documentation about JupyterHub, Jupyter kernels and virtual environments
     [here](../../access/jupyterhub/#creating-and-using-your-own-environment).
 
 ## TensorFlow in Containers