td-svm

What problem does it solve?

This skill automates the process of building and deploying Support Vector Machine (SVM) models for classification tasks directly within Teradata, enabling data scientists to quickly gain insights from their data.

Core Features & Use Cases

• End-to-End Workflow: Handles data analysis, preprocessing, model training, prediction, and evaluation.
• Automated Preprocessing: Includes data quality checks, train-test splitting, and optional imputation.
• Use Case: Predict customer churn based on historical transaction data, identifying high-risk customers for targeted retention campaigns.

Quick Start

Analyze table: my_database.customer_data with target column: churn_flag.