diff --git a/exercises/02450Toolbox_Python/README.md b/exercises/02450Toolbox_Python/README.md
index 5bdbeba2bceb804ad3b4887e37831ce29baa55fb..ef039cfb5bb64e2d87acf04016141fd8bb63c02f 100644
--- a/exercises/02450Toolbox_Python/README.md
+++ b/exercises/02450Toolbox_Python/README.md
@@ -3,18 +3,20 @@
 ## Installation
 To download/install the toolbox:
 
-- [] ensure you have an Python environment running **Python version 3.8-3.11** (either as basic Python installation or ideally as a virtual environment)
-  - [] see [DTU Support](https://pythonsupport.dtu.dk/) for assisatnce on installing Python and [virtual environments](https://pythonsupport.dtu.dk/python/environments.html#python-environments)
-  - [] Basic Python / Pip: You can create a virtual environemnt with the correct python version by running the following from a terminal (with your standard Python activated): TODO
-  - [] Conda/Minicoda: You can create a virtual environemnt with the correct python version by running the following from a terminal (with your standard Conda environment activated): TODO  
-- [ ]  download the '02450Toolbox_Python' as a zip-file using the follwing [link](
+* ensure you have an Python environment running **Python version 3.8-3.11** (either as basic Python installation or ideally as a virtual environment)
+  - see [DTU Support](https://pythonsupport.dtu.dk/) for assisatnce on installing Python and [virtual environments](https://pythonsupport.dtu.dk/python/environments.html#python-environments)
+  - Basic Python / Pip: You can create a virtual environemnt with the correct python version by following from a terminal (with your standard Python activated): TODO
+  - Conda/Minicoda: You can create a virtual environemnt with the correct python version by running the following from a terminal (with your standard Conda environment activated): TODO  
+*  download the '02450Toolbox_Python' as a zip-file using the follwing [link](
 https://lab.compute.dtu.dk/02450/02450students/-/archive/main/02450students-main.zip?path=exercises/02450Toolbox_Python)
-- [ ]  unzip the file, locate the folder ´02450Toolbox_Python´ and copy to your working directory (optional)
-- [ ]  the toolbox (i.e. the `/Scripts` folder) depends on a course specific python package [dtuimldmtools](https://pypi.org/project/dtuimldmtools/) which needs to be installed. We recommend using a Python Virtual environment using [Anaconda](https://www.anaconda.com/download/) or [Miniconda](https://docs.conda.io/projects/miniconda/en/latest/miniconda-install.html) and installing the package inside it. To set up such an environment follow the guide provided by [DTU Python support](https://pythonsupport.dtu.dk/python/install-conda.html). Once setup, the package can be installed by running the following command (make sure you have activated the correct environment before installing):
+* unzip the file, locate the folder ´02450Toolbox_Python´ and copy to your working directory (optional)
+* the toolbox (i.e. the `/Scripts` folder) depends on a course specific python package [dtuimldmtools](https://pypi.org/project/dtuimldmtools/) which needs to be installed. We recommend using a Python Virtual environment using [Anaconda](https://www.anaconda.com/download/) or [Miniconda](https://docs.conda.io/projects/miniconda/en/latest/miniconda-install.html) and installing the package inside it. To set up such an environment follow the guide provided by [DTU Python support](https://pythonsupport.dtu.dk/python/install-conda.html). Once setup, the package can be installed by running the following command (make sure you have activated the correct environment before installing):
   ```
   pip install dtuimldmtools
   ```
 
+## Report an issue / contact the authors
+E-mail: 02450@compute.dtu.dk (subject: 02450students repo - Python)
 
 ## Dataset
 Description of the datasets in the Data folder: