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Data Engineering

This guide will help you understand how to perform data engineering on a dataset using the capabilities provided by the Data Engineering tab. This tab grants access to a machine learning (ML) notebook that offers a wide range of features for data cleaning, transformation, and preparation for machine learning models.

1. Accessing the Data Engineering Tab​

Steps:

  1. Navigate to the Datasets Section:
    • From the main dashboard, click on the "Datasets" tab to access your list of imported datasets.
  2. Select a Dataset:
    • Click on the dataset you want to engineer. This will open the dataset details page.
  3. Open the Data Engineering Tab:
    • Within the dataset details page, locate and click on the "Data Engineering" tab.

2. Overview of the Data Engineering Tab​

The Data Engineering tab provides access to an ML notebook environment where you can perform various data engineering tasks. This environment includes a library of ready-built scripts for data cleaning, balancing, transformation, feature engineering, and more.

3. Performing Data Engineering Tasks​

The Data Engineering tab in Kranium AI provides a robust environment for performing comprehensive data engineering tasks. By following this guide, you can effectively clean, transform, and engineer features in your dataset, preparing it for analysis and AI model development.