User Tools

Site Tools


ai_data_preparation

Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revisionPrevious revision
Next revision
Previous revision
ai_data_preparation [2025/05/25 18:11] – [Best Practices] eagleeyenebulaai_data_preparation [2025/05/25 18:13] (current) – [Future Enhancements] eagleeyenebula
Line 1: Line 1:
 ====== AI Data Preparation ====== ====== AI Data Preparation ======
-**[[https://autobotsolutions.com/god/templates/index.1.html|More Developers Docs]]**:+**[[https://autobotsolutions.com/god/templates/index.1.html|More Developers Docs]]**:
 ===== Overview ===== ===== Overview =====
 The **AI Data Preparation** module provides a robust framework for preparing raw datasets for further analysis, feature engineering, and machine learning workflows. It automates common tasks such as cleaning, normalization, and feature preparation, ensuring that data is clean, consistent, and ready for downstream tasks. The **AI Data Preparation** module provides a robust framework for preparing raw datasets for further analysis, feature engineering, and machine learning workflows. It automates common tasks such as cleaning, normalization, and feature preparation, ensuring that data is clean, consistent, and ready for downstream tasks.
Line 293: Line 293:
  
 - **Advanced Scaling Options**   - **Advanced Scaling Options**  
-  Support additional normalization techniques such as Z-score scaling or logarithmic transformations.+  Support additional normalization techniques such as **Z-score** scaling or logarithmic transformations.
  
 - **Distributed Processing**   - **Distributed Processing**  
ai_data_preparation.1748196678.txt.gz · Last modified: 2025/05/25 18:11 by eagleeyenebula