I've trained more ML models than I've deployed. There's something comforting about the local...
I've trained more ML models than I've deployed. There's something comforting about the local loop—model.fit(), model.evaluate(), hitting 94% accuracy, then staring at the screen wondering, "Okay, how do I make this actually useful?"
If you're stuck there right now, this guide will help.
Note: I wrote this based on AWS documentation and standard SageMaker patterns. If you try it, drop a comment about what worked (or broke).
What You Need Before Starting
AWS account with SageMaker enabled
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