td-decision-forest
OfficialBuild robust classification models.
Data & Analytics#machine learning#classification#predictive modeling#teradata#decision forest#td_decisionforest
Authorteradata-labs
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This skill automates the end-to-end process of building, evaluating, and deploying robust decision forest classification models on Teradata Vantage, simplifying complex machine learning workflows.
Core Features & Use Cases
- Automated Data Preprocessing: Handles missing values, feature scaling, and encoding.
- Model Training: Utilizes Teradata's
TD_DecisionForestfunction for efficient model building. - Prediction & Evaluation: Generates predictions and provides comprehensive performance metrics.
- Use Case: Predict customer churn by analyzing historical customer data, identifying key drivers, and deploying a model to flag at-risk customers.
Quick Start
Use the td-decision-forest skill to analyze table '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-decision-forest Download link: https://github.com/teradata-labs/claude-cookbooks/archive/main.zip#td-decision-forest Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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