Build virtual environments on AWS Sagemaker
Budget: $10 – $30 USD
Build virtual environments on AWS Sagemaker Notebook Instances with Rapids.ai libraries and Pycaret module.
Note: virtual environments should persist between sessions and not be wiped off when a session is closed.
Some helpful links:
https://modelpredict.com/sagemaker-save-your-conda-environments/
https://medium.com/@haridada07/creating-persistent-python-kernels-for-sagemaker-63993138ae50
https://medium.com/decathlontechnology/making-jupyter-kernels-remanent-in-aws-sagemaker-a130bc47eab7
https://aws.amazon.com/premiumsupport/knowledge-center/sagemaker-lifecycle-script-timeout/
Delivery: 1 day
Work environment: can connect on any meeting platform and give access to the console.
Note: virtual environments should persist between sessions and not be wiped off when a session is closed.
Some helpful links:
https://modelpredict.com/sagemaker-save-your-conda-environments/
https://medium.com/@haridada07/creating-persistent-python-kernels-for-sagemaker-63993138ae50
https://medium.com/decathlontechnology/making-jupyter-kernels-remanent-in-aws-sagemaker-a130bc47eab7
https://aws.amazon.com/premiumsupport/knowledge-center/sagemaker-lifecycle-script-timeout/
Delivery: 1 day
Work environment: can connect on any meeting platform and give access to the console.