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Popular repositories Loading

  1. data-science-challenge data-science-challenge Public archive

    This is my solution to the data science challenge

    Jupyter Notebook

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    Multi-city Meta Ads price-test analysis pipeline — 3-stage: bootstrap+SARIMAX → stat sig → Bayesian+MC+power

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    Library + analysis for joining ad-performance data with Open-Meteo historical weather, then correlating/lagging/regressing the two. Extracted from a 3-show × 5-city real campaign study.

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    PhD-level deep-dive curriculum on nonstationarity, ARIMAX, and SARIMAX. 790-line SKILL.md + 5 self-contained runnable Python demos + 290-line statsmodels gotcha bank.

  6. Pouyasharp Pouyasharp Public

    Profile README for Pouyasharp