The 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.
What is in this drawing
Read the decisions behind it.
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.
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