Data engineering tips for cyclists
5 min read
Use lightweight data engineering principles to clean training data and improve analysis quality.
Bad data creates fake confidence and fake concern.
Track missingness and outliers routinely. Better input quality means better coaching decisions and cleaner trend interpretation.
Dynamic coaching plans that adapt to your daily readiness.
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