Data & Analytics

"Compare two pandas DataFrames or two subsets of one DataFrame with

"Prepare pandas inputs and Sweetviz configuration for predictable

"Use Sweetviz to generate pandas EDA reports, compare tabular

"Route SwanLab framework callback adapters, notification plugins,

"Choose, configure, fit, and extend Surprise prediction algorithms,

"Evaluate Surprise predictions, cross-validate algorithms, split

Load, inspect, validate, and split Surprise rating datasets.

"Use supervision metrics for detection evaluation, benchmarking,

"Use supervision image, video, drawing, geometry, assets, and

"Route Supervision computer-vision package workflows for

"Use Magic Leap SuperGluePretrainedNetwork for SuperPoint plus

"This sub-skill routes authenticated Google Earth Engine catalog,

"It routes a researcher through safe Leafmap and Folium Streamlit

"Guides StellarGraph supervised and semi-supervised node

"Guides StellarGraph saved-model loading, custom Keras layers,

"Guides StellarGraph graph construction, graph queries, data-format

"Routes StellarGraph graph machine learning tasks across graph

"Use statsmodels time-series APIs for stationarity tests,

"Use statsmodels statistical tests, diagnostics, ANOVA, contrasts,

"Use statsmodels discrete choice and count model APIs for Logit,

"Use statsmodels datasets, result objects, predictions, summaries,

"Use statsmodels for statistical modeling, econometrics,

Choose and configure StatsForecast model classes and direct model APIs.

"Operate normal StatsForecast pandas/polars panel forecasting