Machine Learning Data Cleaner

Cleans and preprocesses datasets to prepare them for machine learning, including handling missing values, scaling features, and encoding categorical variables.

Features

• Missing Value Imputation: Automatically fill in or remove missing data
• Feature Scaling: Normalize or standardize numeric features
• Category Encoding: Convert text categories to numeric representations

Pricing

• Price: 0.001 USDT per API call
• Payment: Integrated via SkillPay.me

Use Cases

• Preparing raw data for ML models
• Automating ETL pipelines
• Improving model performance through cleaner data

Example Input

{
  "data": [{"age": 25, "city": "NY"}, {"age": null, "city": "SF"}],
  "impute_strategy": "mean"
}

Example Output

{
  "success": true,
  "cleaned_data": [{"age": 25, "city": "NY"}, {"age": 25, "city": "SF"}],
  "message": "Data cleaning and preprocessing complete."
}

Integration

This skill is integrated with SkillPay.me for automatic micropayments. Each call costs 0.001 USDT.