td-random-forest

Official

High-accuracy classification with Teradata.

Authorteradata-labs
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill automates the complex process of building and deploying high-accuracy classification models directly within Teradata Vantage, enabling data scientists to quickly derive insights and make predictions without extensive manual SQL coding.

Core Features & Use Cases

  • End-to-End Workflow: Manages the entire machine learning lifecycle from data analysis and preprocessing to model training, prediction, and evaluation.
  • Automated SQL Generation: Dynamically generates optimized SQL scripts tailored to your specific table structure and data.
  • Use Case: Predict customer churn by training a Random Forest model on historical customer data stored in Teradata, then use the model to score current customers and identify those at high risk of leaving.

Quick Start

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

Dependency Matrix

Required Modules

None required

Components

scriptsreferences

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: td-random-forest
Download link: https://github.com/teradata-labs/claude-cookbooks/archive/main.zip#td-random-forest

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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