Fixed dataset location in a template based workshop

Pushed from Domino: https://ykb.domino-eval.com/workspace/petter/mlops-best-practices?executionId=6734940e0b77b232dfd8c697

.ipynb_checkpoints/Readme-checkpoint.md

@@ -1,14 +1,14 @@
 # Domino Hands-On Workshop: Predictions
 
-## Updated for Domino 6.x
-
 #### In this workshop, you will work through an end-to-end workflow broken into various labs to -
 
-* Read in data from a live source
+* Read in data from a live datasource
 * Prepare your data in an IDE of your choice, with an option to leverage distributed computing clusters
 * Train several models in various frameworks
 * Compare model performance across different frameworks and select the best-performing model
 * Deploy model to a containerized endpoint and web-app frontend for consumption
 * Leverage collaboration and documentation capabilities to make all work reproducible and sharable!  
 
-You will find a full walkthrough of our Workshop here: [WORKSHOP LINK](https://docs.google.com/document/u/4/d/11eA3ney10KzX7GF9G7f5n72f4p7k7CHSpLxoUfbAGE8/pub)
+You will find a full walkthrough of our Workshop here: [VERSION 6.x WORKSHOP LINK](https://docs.google.com/document/u/4/d/11eA3ney10KzX7GF9G7f5n72f4p7k7CHSpLxoUfbAGE8/pub)
+
+You will find a full walkthrough of our Workshop here: [VERSION 5.x WORKSHOP LINK](https://docs.google.com/document/d/e/2PACX-1vS9LKbBYYOrsDmshmKvEIUkDMYVMAivoodg1CTEgjZRPW_IJFV2Un4l5uaE2jI1BsbN3-tQ8IMSkGoL/pub)

Readme.md

@@ -2,7 +2,7 @@
 
 #### In this workshop, you will work through an end-to-end workflow broken into various labs to -
 
-* Read in data from a live source
+* Read in data from a live datasource
 * Prepare your data in an IDE of your choice, with an option to leverage distributed computing clusters
 * Train several models in various frameworks
 * Compare model performance across different frameworks and select the best-performing model