update Datahub and Binder links

Author: aculich

README.md

@@ -41,16 +41,12 @@ Now that you have all the required software and materials, you need to run the c
 Note that all of the above steps can be run from the terminal, if you're familiar with how to interact with Anaconda in that fashion. However, using Anaconda Navigator is the easiest way to get started if this is your first time working with Anaconda.
 
 ## Is Python not Working on Your Computer?
+If you have a Berkeley CalNet ID, you can run these lessons on UC Berkeley's DataHub by clicking [![Datauhb](https://img.shields.io/badge/launch-datahub-blue)](https://datahub.berkeley.edu/hub/user-redirect/git-pull?repo=https%3A%2F%2Fgithub.com%2Fdlab-berkeley%2FPython-Machine-Learning-Fundamentals&urlpath=tree%2FPython-Machine-Learning-Fundamentals%2F&branch=main). By using this link, you can save your work and come back to it at any time. When you want to return to your saved work, just go straight to DataHub (https://datahub.berkeley.edu), sign in, and you click on the `python-fundamentals` folder.
 
-If you do not have Python or Anaconda installed and the materials loaded on your workshop by the time it starts, we *strongly* recommend using the UC Berkeley Datahub to run the materials for these lessons. You can access the DataHub by clicking [this link](https://datahub.berkeley.edu/hub/user-redirect/git-pull?repo=https%3A%2F%2Fgithub.com%2Fdlab-berkeley%2FPython-Machine-Learning-Fundamentals&urlpath=tree%2FPython-Machine-Learning-Fundamentals%2F&branch=main).
-
-The DataHub downloads this repository, along with any necessary packages, and allows you to run the materials in an RStudio instance on UC Berkeley's servers. No installation is necessary from your end - you only need an internet browser and a CalNet ID to log in. By using the DataHub, you can save your work and come back to it at any time. When you want to return to your saved work, just go straight to [DataHub](https://datahub.berkeley.edu), sign in, and you click on the `Python-Machine-Learning-Fundamentals` folder.
 
 If you don't have a Berkeley CalNet ID, you can still run these lessons in the cloud, by clicking this button:
-
-[![Binder](http://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/dlab-berkeley/Python-Machine-Learning-Fundamentals/HEAD)
-
-By using this button, however, you cannot save your work.
+[![Binder](http://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/dlab-berkeley/Python-Machine-Learning-Fundamentals/main?urlpath=tree%2FPython-Machine-Learning-Fundamentals%2F)
+By using this button, you cannot save your work unfortunately.
 
 # Additional Resources