td-simple-impute

Official

Impute missing values with TD_SimpleImputeFit

Authorteradata-labs
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This skill addresses the common challenge of missing values in datasets by providing an automated workflow for imputation using Teradata's TD_SimpleImputeFit function.

Core Features & Use Cases

  • Missing Value Imputation: Fills in missing data points using statistical methods.
  • Automated Preprocessing: Includes data analysis, feature engineering recommendations, and SQL generation.
  • Use Case: When preparing a dataset for machine learning, this skill can automatically handle missing entries in columns like 'customer_age' or 'product_price' to ensure model compatibility.

Quick Start

Use the td-simple-impute skill to analyze table my_data and impute missing values.

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

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