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My personal suggestion for the structure is as following:
DataPrep: rename it to Pipeline. The folder will contain all the scripts DS scripts: data wranling, train test split, preprocessing+feature engineering, modelling and scoring.
Model: good. it used to store models locally
Operationalization: contains the script to build the infrastructure and also the orchestrator that runs the pipeline
Notebooks: missing folder. It's useful to keep traces of notebooks either locally or from remote tools/platforms like Databricks
Hi all,
The "Code" folder has not been updated based on the TDSP Documentation (https://docs.microsoft.com/en-us/azure/machine-learning/team-data-science-process/overview)

My personal suggestion for the structure is as following:
DataPrep: rename it to Pipeline. The folder will contain all the scripts DS scripts: data wranling, train test split, preprocessing+feature engineering, modelling and scoring.
Model: good. it used to store models locally
Operationalization: contains the script to build the infrastructure and also the orchestrator that runs the pipeline
Notebooks: missing folder. It's useful to keep traces of notebooks either locally or from remote tools/platforms like Databricks