El escenario
A data scientist building a predictive model from a tabular dataset needs to preprocess data and iteratively train a model until performance meets thresholds.
Qué hay en este dibujo
Lee las decisiones que hay detrás.
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.