Time series model evaluation
Using synthetic movement data, build a baseline event forecast or anomaly detector. Define training and test sets, choose evaluation metrics, and present the model's limitations.
The Data Scientist role creates training and test datasets, evaluates algorithms, and performs event forecasting and anomaly detection.
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