Ciencia De Datos Y Python High Quality _hot_ - Estadistica Practica Para

"We didn't need deep learning," she said. "We needed to ask: What does the distribution look like? What's the probability of an effect given prior knowledge? Is the relationship real or a Simpson's Paradox? "

predichos = modelo.predict(X) residuos = modelo.resid "We didn't need deep learning," she said

# Compare groups if categorical_col and categorical_col in df.columns: groups = [group[numeric_col].dropna().values for name, group in df.groupby(categorical_col)] if len(groups) == 2: stat, p = stats.mannwhitneyu(*groups, alternative='two-sided') print(f"\ncategorical_col comparison: p=p:.4f") "We didn't need deep learning