Results for “hypothesis-testing”
9 skills
k-dense-ai hypogenic
Automates hypothesis generation and testing on tabular datasets using LLMs, combining data-driven discovery with literature integration for scientific research.
30.2k · bundle
k-dense-ai statistical-analysis
Guides statistical hypothesis testing with assumption checks, effect sizes, power analysis, Bayesian alternatives, and APA-formatted reporting for research data.
30.2k · bundle
neuralblitz applied-big-data-design
Performs design operations in the big-data domain, including hypothesis testing, statistical analysis, and data visualization using ML frameworks.
1 · bundle
More results
k-dense-ai hypothesis-generation
Formulate testable hypotheses from observations, design experiments, and generate predictions using a structured scientific method framework.
30.2k · bundle
leandrobenjaminl statistical-testing
Guía para elegir y aplicar tests de hipótesis con SciPy, verificando supuestos, interpretando p-values y tamaño del efecto, y evitando falsos positivos.
0 · bundle
dotnet test-gap-analysis
Analyzes production code to find gaps in existing tests by reasoning about hypothetical mutations and checking whether tests would catch them.
4k
k-dense-ai statsmodels
Fit statistical models (OLS, GLM, ARIMA, mixed models) with detailed diagnostics, residuals, and inference for econometrics and time series analysis.
30.2k · bundle
orchestra-research autoresearch
Orchestrates end-to-end autonomous AI research projects using a two-loop architecture for rapid experimentation and synthesis, producing papers and presentations.
10.4k · bundle
brycewang-stanford marginaleffects
Manual for the marginaleffects R and Python package, and guide to the book "Model to Meaning". Use when users ask about predictions, comparisons, slopes, marginal effects, average treatment effects (ATE/ATT/CATE), hypothesis testing, contrasts, counterfactuals, risk ratios, odds ratios, causal inference with G-computation, or need help with marginaleffects functions like predictions(), comparisons(), slopes(), hypotheses(), datagrid(), avg_predictions(), avg_comparisons(), avg_slopes(), or plot functions.
1k · bundle