td-random-forest
OfficialHigh-accuracy classification with Teradata.
Data & Analytics#machine learning#classification#teradata#sql analytics#clearscape analytics#random forest
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 requiredComponents
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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