Data Engineering and Feature Stores
The plumbing under a real ML system: batch and streaming pipelines, a feature store, training/serving skew, and how features are versioned and reused.
intermediate~5 hours9 notebooks
Curator of this Module
RD
Rajat Dandekar
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Learning Path
Article
1
Introduction2
Notebook 23
Notebook 34
Notebook 45
Notebook 56
Notebook 67
Notebook 78
Notebook 89
ConclusionCase Study
Certificate