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Before applying any forecasting method, I must understand customers’ purchase pattern. I learned “coefficient of variation” (CV) can be a vital metric in my toolbox to produce robust forecasting.
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My first Python project had magic numbers everywhere. alpha=2.0 here, alpha=0.15 there… When I needed to change something, it was a nightmare. I had to find where the parameters are located. Sometimes I lost track of them and found inconsistency across the scripts which resulted in breaking the scripts. What changed everything was moving all my parameters into a single config.py file.