brianchilders/sagemaker-immersion-day

Sagemaker Immersion Day

1. Setup your Sagemaker Notebook
   • Go to the link below and follow instructions to create your own Sagemaker Notebook
     • https://s3.amazonaws.com/wwps-sagemaker-workshop/lab1.html
2. Social Networks Rekognition Lab
   • Go to the link below and follow instructions to launch the lab.
     • https://github.com/kate-dubbs/social-networks-rekognition-neo4j
   • While you are waiting for your CloudFormation template to launch, download the zip file linked below.
     • https://github.com/sharlinak/sagemaker-immersion-day/blob/master/social-networks-rekognition-neo4j-blog-master.zip
   • Upload zip to the Sagemaker notebook created in Step 1. Open a terminal, and type in the following command.

   unzip social-networks-rekognition-neo4j-blog-master.zip
   

   • Open Rekognition_Neo4j.ipynb notebook and run all cells. Explore results. When you are done, check on the CloudFormation template you launched at the beginning of this lab.
   • Resources:
     • Original Blog Post: https://aws.amazon.com/blogs/machine-learning/understand-movie-star-social-networks-using-amazon-rekognition-and-graph-databases/
3. Transcribe and Comprehend Lab
   • Go to the link below and follow instructions to launch the lab.
     • https://s3.amazonaws.com/wwps-sagemaker-workshop/lab4.html
4. Predicting Customer Churn with XGBoost
   • Go to the link below and follow instructions to launch the lab.
     • https://s3.amazonaws.com/wwps-sagemaker-workshop/lab5.html