Descriptive Analytics

Perform t-SNE manifold learning dimensionality reduction and return enriched DataFrame.

Perform Principal Component Analysis (PCA) and return enriched DataFrame with components.

Create balanced treatment and control groups for causal inference from observational data.

Discover association rules in transactional data using the Apriori algorithm.

Perform probabilistic clustering using Gaussian Mixture Models (GMM).

Perform agglomerative hierarchical clustering with dendrogram visualization.

Perform K-Means clustering with automatic elbow method optimization.

Generate AI-powered exploratory data analysis goals using Microsoft LIDA.