Update readme

Readme.md

@@ -31,14 +31,14 @@ Regions (C/SIRs) and Class 1 holds storms driven by Interplanetary Coronal Mass
 executed by a supervised binary logistic regression model in the framework of python's scikit-learn.
 
 ### How to run ClassifyStorms?
-Download the GitLab project ``ClassifyStorms" from http://gitext.gfz-potsdam.de/lpick/ClassifyStorms/ by clicking on the 'Download' 
+Download the GitLab project 'ClassifyStorms' from http://gitext.gfz-potsdam.de/lpick/ClassifyStorms/ by clicking on the 'Download' 
 button. Additionally, download 'Input.nc' from ftp://ftp.gfz-potsdam.de/home/mag/pick/ClassifyStorms/ and place it into 
 the extracted directory ClassifyStorms-master. Navigate to ClassifyStorms-master and start the jupyter server 
 (http://jupyter.org/) by typing 'jupyter notebook' into the command line. This will open the jupyter 'Home' in your web 
 browser. Select 'ClassifyStorms.ipynb' from the list and run the notebook by clicking 'Run'.
 
 ### Get involved!
-+ Fork the GitLab project "ClassifyStorms" from http://gitext.gfz-potsdam.de/lpick/ClassifyStorms by clicking on the 'Fork' button.
++ Fork the GitLab project 'ClassifyStorms' from http://gitext.gfz-potsdam.de/lpick/ClassifyStorms by clicking on the 'Fork' button.
 + Clone the forked project to a local directory.
 + Create a new development branch and apply your changes to it.
 + Commit your changes and push them to your forked project at GitLab. If you are done, merge the development branch into the master branch.