td-onehot-encoding

Official

Encode categorical data with TD_OneHotEncodingFit

Authorteradata-labs
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This skill automates the process of encoding categorical variables in your Teradata data, transforming them into a format suitable for machine learning models.

Core Features & Use Cases

  • Categorical Variable Encoding: Utilizes TD_OneHotEncodingFit to create dummy variables for categorical columns.
  • Automated Workflow: Analyzes table structure, engineers features, and generates SQL for preprocessing.
  • Use Case: Prepare your customer data for a churn prediction model by encoding categorical features like 'region' and 'customer_segment' into numerical representations.

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-onehot-encoding
Download link: https://github.com/teradata-labs/claude-cookbooks/archive/main.zip#td-onehot-encoding

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