td-onehot-encoding
OfficialEncode 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_OneHotEncodingFitto 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 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-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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