Use SMSL conda method for configuration

Sagemaker studio lab has a built in shortcut for quickly creating new `conda` environments as seen in
https://github.com/aws/studio-lab-examples/blob/main/geospatial-data-science/NOAA_Exploratory_Analysis/EDA_weather_climate.ipynb

and described in https://github.com/aws/studio-lab-examples/tree/main/custom-environments

We should adopt this approach to keep each example isolated with it's own dependencies.

## Acceptance criteria
- [x] Each example is it's own subfolder (can remove the redundant "example" folder)
- [x] Each example has a `conda` yml defining both conda installed libraries and pip required libraries when needed