Merge branch 'main' of lab.compute.dtu.dk:02450/02450students

exercises/02450Toolbox_Matlab/LICENSE

-LICENCE
+LICENSE
 
 This repository contains code for the course 02450 Introduction to Machine Learning and Data Mining at the Technical University of Denmark (DTU).
 
@@ -11,6 +11,6 @@ The material including software is provided "as-is". Support is generally not av
 are made as to it or any medium it may be on. No remedy will be provided for indirect, consequential, punitive or incidental damages arising from it, 
 including such from negligence, strict liability, or breach of warranty or contract, even after notice of the possibility of such damages.
  
-Inquiries about licensing can be made to the Cognitive System Section, DTU Compute, http://cogsys.compute.dtu.dk
+Inquiries about licensing can be made to the Cognitive System Section, DTU Compute, http://cogsys.compute.dtu.dk, 02450@compute.dtu.dk
 
 The material is not for redistribution.

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:

exercises/02450Toolbox_R/LICENSE

-LICENCE
+LICENSE
 
 This repository contains code for the course 02450 Introduction to Machine Learning and Data Mining at the Technical University of Denmark (DTU).
 
@@ -11,6 +11,6 @@ The material including software is provided "as-is". Support is generally not av
 are made as to it or any medium it may be on. No remedy will be provided for indirect, consequential, punitive or incidental damages arising from it, 
 including such from negligence, strict liability, or breach of warranty or contract, even after notice of the possibility of such damages.
  
-Inquiries about licensing can be made to the Cognitive System Section, DTU Compute, http://cogsys.compute.dtu.dk
+Inquiries about licensing can be made to the Cognitive System Section, DTU Compute, http://cogsys.compute.dtu.dk, 02450@compute.dtu.dk
 
 The material is not for redistribution.