6 skills found
phuryn / retroFacilitate a structured sprint retrospective â what went well, what didn't, and prioritized action items with owners and deadlines
oliver-kriska / catchupSummarize and review what changed while you were away. Use after a weekend, vacation, or flight to check missed PRs, git commits, Linear tickets, and meetings â one prioritized brief, not a firehose.
jaechang-hits / statsmodels-statistical-modelingPython statistical modeling: regression (OLS, WLS, GLM), discrete (Logit, Poisson, NegBin), time series (ARIMA, SARIMAX, VAR), with rigorous inference, diagnostics, and hypothesis tests. Use scikit-learn for ML; statistical-analysis for test choice.
jaechang-hits / matlab-scientific-computingMATLAB/GNU Octave numerical computing: matrices, linear algebra, ODEs, signal processing, optimization, statistics, scientific visualization. MATLAB-syntax examples run on both. For Python use numpy/scipy; for statistical modeling use statsmodels.
jaechang-hits / pydeseq2-differential-expressionBulk RNA-seq DE with PyDESeq2: load counts, normalize, fit negative binomial models, Wald test (BH-FDR), LFC shrinkage, volcano/MA plots. Use for two-group comparisons, multi-factor designs with batch correction, multiple contrasts.
xornivore / cycloticSkills and techniques
