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Build ML experiementation environment #706

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Build ML experiementation environment#706
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complexity: largetask is assuming a high level of knowledge about how to approach and what tools to use.feature: analyticsmissing: milestonerole: data scientistsize: 8ptCan be done in 31-48 hours

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@glenflorendo
glenflorendo
opened on Nov 4, 2025

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Description

Provide the infrastructure and tooling for model experimentation (sandboxed notebooks, datasets, and tracking).

Acceptance Criteria

  • Data scientists can query, join, and train models
  • MLFlow or equivalent tracking configured
  • Example baseline models delivered

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    complexity: largetask is assuming a high level of knowledge about how to approach and what tools to use.feature: analyticsmissing: milestonerole: data scientistsize: 8ptCan be done in 31-48 hours

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