Das Szenario
A data scientist building a predictive model from a tabular dataset needs to preprocess data and iteratively train a model until performance meets thresholds.
Was diese Zeichnung zeigt
Die dahinterstehenden Entscheidungen verstehen.
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.