td-kmeans

What problem does it solve?

This Skill automates the process of customer segmentation and data grouping using K-Means clustering, enabling businesses to understand their customer base better and tailor strategies.

Core Features & Use Cases

• Automated Data Analysis: Analyzes table structures, identifies features, and recommends preprocessing steps.
• K-Means Clustering: Implements the TD_KMeans function for efficient clustering.
• Model Deployment: Generates SQL for preprocessed data, model training, and prediction.
• Use Case: A retail company wants to identify distinct customer groups for targeted marketing campaigns. This skill can analyze customer purchase history and demographics to create meaningful segments.

Quick Start

Analyze table: sales_data with target column: customer_id.