td-logistic-regression
OfficialPredict outcomes with Teradata Logistic Regression
Data & Analytics#machine learning#classification#predictive modeling#teradata#sql analytics#logistic regression
Authorteradata-labs
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This skill automates the process of building and deploying logistic regression models within Teradata, enabling users to predict binary or multinomial outcomes from their data without extensive manual SQL coding.
Core Features & Use Cases
- End-to-End Workflow: Manages data preprocessing, model training, prediction, and evaluation.
- Automated SQL Generation: Creates optimized SQL scripts for Teradata Vantage.
- Use Case: Predict customer churn based on historical behavior data stored in a Teradata table.
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-logistic-regression Download link: https://github.com/teradata-labs/claude-cookbooks/archive/main.zip#td-logistic-regression Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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