- Organizing complex analysis project http://drivendata.github.io/cookiecutter-data-science/ 6 comments datascience
- Reproducible Data Science Workflows https://drivendata.github.io/cookiecutter-data-science/ 7 comments datascience
- Would anyone recommend using Jupyter Notebooks within PyCharm for project management? https://drivendata.github.io/cookiecutter-data-science/ 10 comments datascience
- Code goes in git, but where does the data go? https://drivendata.github.io/cookiecutter-data-science/ 26 comments datascience
- Data Science isn't only about machine learning; Readability & reproducibility are key to team success https://drivendata.github.io/cookiecutter-data-science/ 7 comments datascience
Linking pages
- GitHub - drivendata/cookiecutter-data-science: A logical, reasonably standardized, but flexible project structure for doing and sharing data science work. https://github.com/drivendata/cookiecutter-data-science 12 comments
- The Data Science Workflow. Suppose you are starting a new data… | by Konstantin | Towards Data Science https://medium.com/@kt.era.ee/the-data-science-workflow-43859db0415 9 comments
- Best practices organizing data science projects – Thinking on Data http://www.thinkingondata.com/how-to-organize-data-science-projects/ 4 comments
- GitHub - harveyslash/Deep-Image-Analogy-PyTorch: Visual Attribute Transfer through Deep Image Analogy in PyTorch! https://github.com/harveyslash/Deep-Image-Analogy-PyTorch 3 comments
- GitHub - visenger/awesome-mlops: A curated list of references for MLOps https://github.com/visenger/awesome-mlops 2 comments
- GitHub - fredmontet/tars: A crypto trading bot for research and developers https://github.com/fredmontet/tars 1 comment
- Passing the Dreaded Data Science Take-Home Assignment: Updated 2021 | by Jay Feng | Towards Data Science https://towardsdatascience.com/passing-the-dreaded-data-science-take-home-assignment-8ae5d55f256b 1 comment
- GitHub - D4ve-R/ifcclouds: convert ifc files to pointclouds https://github.com/D4ve-R/ifcclouds 1 comment
- An End-to-End MLOps Platform Implementation using Open-source Tooling | by Omolade Saliu | Medium https://medium.com/@omolade/an-end-to-end-mlops-platform-implementation-using-open-source-tooling-110948bb49b4 0 comments
- Production Code for Data Science and Our Experience with Kedro | by Kaan Karakeben | Beamery Hacking Talent | Medium https://medium.com/hacking-talent/production-code-for-data-science-and-our-experience-with-kedro-60bb69934d1f 0 comments
- Machine learning deserves its own flavor of Continuous Delivery | by Derek Haynes | Towards Data Science https://towardsdatascience.com/machine-learning-deserves-its-own-flavor-of-continuous-delivery-f4d1e76e6b69 0 comments
- Machine learning deserves its own flavor of Continuous Delivery | Booklet.ai https://booklet.ai/blog/continuous-delivery-machine-learning-cd4ml/ 0 comments
- GitHub Codespaces for Machine Learning | dlite.cc https://dlite.cc/2020/05/26/github-codespaces-machine-learning.html 0 comments
- Organizing machine learning projects: project management guidelines | by Gideon Mendels | Comet | Medium https://medium.com/comet-ml/organizing-machine-learning-projects-project-management-guidelines-2d2b85651bbd 0 comments
- Automate the Structure of Your Data Science Projects with Cookiecutter | by Ahmed Besbes | Towards Data Science https://towardsdatascience.com/automate-the-structure-of-your-data-science-projects-with-cookiecutter-937b244114d8 0 comments
- Machine Learning Toolbox https://amitness.com/toolbox/ 0 comments
- GitHub - chakki-works/chariot: Deliver the ready-to-train data to your NLP model. https://github.com/chakki-works/chariot#build--run-preprocess 0 comments
- Towards MLOps: Technical capabilities of a Machine Learning platform | by Theofilos Papapanagiotou | Prosus AI Tech Blog | Medium https://medium.com/prosus-ai-tech-blog/towards-mlops-technical-capabilities-of-a-machine-learning-platform-61f504e3e281 0 comments
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