Lo scenario
A data scientist building a predictive model from a tabular dataset needs to preprocess data and iteratively train a model until performance meets thresholds.
Cosa contiene questo disegno
Leggi le decisioni che ne stanno alla base.
01
Performance threshold acceptance
02
Data cleaning steps
03
Feature engineering choices
When a structured tabular dataset is available and the goal is to train a supervised learning model with iterative improvement.