by K-Dense-AI
shap skill for model interpretability and explainable AI. Use it to understand predictions, compute feature attributions, choose SHAP plots, and debug model behavior for Data Analysis across tree, linear, deep learning, and black-box models.
by K-Dense-AI
Seaborn is a seaborn skill for Python statistical visualization with pandas-friendly inputs and strong defaults. Use it for quick exploration of distributions, relationships, categorical comparisons, box plots, violin plots, pair plots, and heatmaps. Built on matplotlib for static, publication-ready charts.
by K-Dense-AI
scientific-visualization is a meta-skill for publication-ready figures. Use it for journal submission plots with multi-panel layouts, significance annotations, error bars, colorblind-safe palettes, and Nature/Science/Cell-style formatting. It orchestrates matplotlib, seaborn, and plotly for scientific-visualization for Data Visualization work.
