What are some good DS/ML repos where I can learn about structuring a DS/ML project?

• cookiecutter-data-science

  17 7,588 1.9 Python

  A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

I've found https://github.com/drivendata/cookiecutter-data-science as a guide, but haven't found any repos that solve a problem end to end actually use it. Are there any good repos or resources that exemplify how to solve a DS/ML case end-to-end? Including any UI (a report, stream, dash etc) needed for delivery, handling data, preprocessing, training and local development.

• projects

  19 77 4.7 Jupyter Notebook

  Sample projects using Ploomber. (by ploomber)

  

We have tons of examples that follow a standard layout, here’s one: https://github.com/ploomber/projects/tree/master/templates/ml-intermediate

• InfluxDB

  www.influxdata.com sponsored

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• Kedro

  29 9,353 9.7 Python

  Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.

  

For the lazy ones out there, here's the link to their github repo.

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