AzureML-Recommendation-RRS/code
Daniel Ciborowski b03012265e adding python test 2018-02-27 15:12:20 +00:00
..
01_data_acquisition_and_understanding Initial commit 2018-02-12 02:17:20 +00:00
02_modeling adding python test 2018-02-27 15:12:20 +00:00
03_deployment refactoring a little bit 2018-02-12 12:00:13 -05:00
testing adding python test 2018-02-27 15:12:20 +00:00
Readme.md Initial commit 2018-02-12 02:17:20 +00:00

Readme.md

Code

This directory should contain all the source code for the project. Some structure (sub-directories) is provided regarding where to store your code files.

It is recommended to maintain the three main folders as "01_Data_Acquisition_and_Understanding", "02_Modeling", and "03_Deployment" and follow the steps of the TDSP data science process as outlined (link).

However, if this does not work for your project such as a big data project without a model or the code is contained in a single process, you are free to restructure folders within "Code" to suit your needs, as long as you number the folders numerically according to the stages of the process to which you approach the problem, e.g. "01_DataPrep" and "02_Deployment" if there contains no model.

Please delete the comments above and use this ReadMe file to describe the structure of your code.

Code/01_data_acquisition_and_understanding

Code/02_modeling

Code/03_deployment