updated links to aws and gcp

README.md

@@ -17,7 +17,7 @@
 
 This module is geared towards beginners and does not require prior knowledge on a specific scientific discipline. The module is divided into three Jupyter notebooks as outlined at the beginning of this document. In addition to the notebooks mentioned, there are videos containing brief explanations about basic concepts in machine learning and what the code does in each step of the notebook. Below is an outline of the videos contained in each notebook with their respective links. These videos are already attached to the notebook.
 
-This module offers two computing pathways: [AWS (Amazon Web Services)](https://github.com/NIGMS/Introduction-to-Data-Science-for-Biology/tree/AWS%26GCP/AWS) or [GCP (Google Cloud Platform)](https://github.com/NIGMS/Introduction-to-Data-Science-for-Biology/tree/AWS%26GCP/Google%20Cloud). Users can choose their preferred cloud service to run the Jupyter notebooks, ensuring flexibilty and accessibilty based on their existing infrastructure or familairty. Detailed instructions for setting up and using either AWS or GCP for this module are provided within their corresponding folders within this repository. 
+This module offers two computing pathways: [AWS (Amazon Web Services)](https://github.com/NIGMS/Introduction-to-Data-Science-for-Biology/tree/master/AWS) or [GCP (Google Cloud Platform)](https://github.com/NIGMS/Introduction-to-Data-Science-for-Biology/tree/master/Google%20Cloud). Users can choose their preferred cloud service to run the Jupyter notebooks, ensuring flexibilty and accessibilty based on their existing infrastructure or familairty. Detailed instructions for setting up and using either AWS or GCP for this module are provided within their corresponding folders within this repository. 
 
 ### 1- Introduction To Machine Learning: Decision Trees (10 video clips)