No-Code Machine Learning via Qlik AutoML
Strengths
Statistical Metric Coverage
Instruction includes essential evaluation parameters such as F-Score, Permutation Importance, SHAP Importance, and ROC Curves.
Project-Led Workflow
The curriculum follows a full lifecycle from data addition and pipeline management to generating predictions and deploying projects.
Limitations
Limited Tooling Depth
The focus remains on the Qlik AutoML interface and its Scenario Editor for what-if analysis rather than broader data science toolsets.

