In the previous article (article_23), I created a mechanism to automatically collect note access analytics using Playwright and save them to a CSV. I am collecting two types of data.
End-to-end demand forecasting with Python using synthetic time-series sales data. Includes data generation, cleaning, ARIMA/SARIMA model selection by AIC, evaluation with RMSE and MAPE, and 90-day ...
Turn "a dataset + a claim" into a publication-grade figure — the kind a top-journal editor accepts with no revision request. Icarus Figures is a self-contained Claude/Codex skill: reproducible ...
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