Does this sound familiar to you?¶
- Loading your data
- Doing EDA
- Feature engineering
- Build model
- Evaluate your model
- Deploy
when I was a young and naive, a nebulous cloud say, a newly emergent data scientist in indsutry I thought this is how things worked. Thats what the udemy course said anyways lol.
clean segmented parts when put together form a whole pipeline that just * FITS *
yeah ngmi
BARRING DEPLOYMENT think about your models kinda like how stable diffusion generates images
its a whole thing through iterations and refinement slowly starts to look like something usable or worth something
You build a model, loo