Running a Jupyter Instance using Amazon sagemaker

Amzn-sagemaker.md

Running a Jupyter Instance using Amazon sagemaker

Loading the data using kaggle-cli

• Links
  • https://www.kaggle.com/general/6604
  • https://github.com/floydwch/kaggle-cli
  • [Downloading the files] https://stackoverflow.com/questions/7243750/download-file-from-web-in-python-3
• Kaggle Username and password :
  • sandeep.maxcraze@gmail.com | ********
• Download the data:
• $ kg download -u crafter707 -p rorshack**** -c data-science-bowl-2018
• kaggle competitions download -c data-science-bowl-2018

Use the kaggle API

• https://github.com/kaggle/kaggle-api
• you must download an API key from https://www.kaggle.com//account
• Then put kaggle.json in the folder /home/ec2-user/.kaggle

Using S3 and connecting the s3 bucket to the Sagemaker instance

• Loaded the data into the s3 bucket

thanks 👍