initial commit; added readme, dependencies, linear regression and polynomial approximation demos

.gitignore

+.idea/
+.ipynb_checkpoints/
+
+

README.md

+### Running demos
+
+The file `environment.yml` defines all required dependencies and can be used to
+automatically create an anaconda virtual environment. However, you could
+also make sure all dependencies are installed in a python environment of your
+choice and completely skip this guide.
+
+1. Install anaconda
+    * follow the instructions in 
+        [the official anaconda documentation](https://conda.io/docs/user-guide/install/index.html)
+1. Create a virtual environment using the configuration file from terminal
+    (should be similar for non *nix systems, check the documentation though)
+    ```console
+    $ conda create -f environment.yml
+    ```
+1. Install an ipython kernel using the new python environment
+    ```console
+    $ source activate lls
+    $ python -m ipykernel install --user --name lls --display-name "Python (lls)"
+    ```
+1. Start jupyter notebook server
+    ```console
+    $ jupyter notebook
+    ```
+1. A browser tab should now be opened. Select the demo notebook (lls_demo.ipynb)
+    and make sure the "Python (lls)" kernel is being used
\ No newline at end of file

environment.yml

+name: lls
+dependencies:
+  - python >=3.7.1
+  - numpy >=1.1.15
+  - matplotlib >=3.0.1
+  - scipy >=1.1.0
+  - jupyter >=1.0.0
+  # - pip:
+    # -