PinnedDean PlebanCookiecutter MLOps — A production-focused ML project templateMany people discuss MLOps and how to get models into production, but few share practical tips you can implement and see immediate value.11 min read·Dec 19, 2022----
Dean PlebaninTowards Data ScienceIntroducing the Machine Learning Reproducibility ScaleQuantifying machine learning reproducibility and presenting a unified ranking system for project reproducibility9 min read·Nov 16, 2021----
Dean PlebaninTowards Data ScienceSolve your MLOps Problems with an Open Source Data Science StackA list of common problems and solutions for open source data science stack, with comments on when they’re better/worse for that issue.12 min read·Jun 2, 2021----
Dean PlebaninTowards Data ScienceCode to production-ready machine learning in 4 stepsHow we turned a data science code repository into a data & model versioned, experiment tracked project, ready for production8 min read·Feb 3, 2021----
Dean PlebaninTowards Data ScienceDocker for Data Science — A Step by Step GuideCreate an ML workspace running on your machine via Docker, packed with the ML libraries you need, VSCode, Jupyter, and lots of other…8 min read·Oct 18, 2020--2--2
Dean PlebaninTowards Data ScienceData Science Pull Requests — A Method for Data Science Review & MergingA step forward for MLOps and unlocking Open Source Data Science7 min read·Sep 30, 2020----
Dean PlebaninTowards Data ScienceHow COVID-19 is changing Data Science WorkflowsCOVID-19 is changing a lot of things. What can data scientists do to make the most out of the situation?6 min read·Apr 15, 2020----
Dean PlebaninTowards Data ScienceMaking a case for Open Source Data Science (OSDS)Open Source Software has changed our lives. But where is Open Source Data Science? and why should we care?9 min read·Feb 2, 2020----