Prepare data for modeling with Azure Machine Learning
Data preparation is an important part of a machine learning workflow. Your models will be more accurate and efficient if they have access to clean data in a format that is easier to consume.
You can prepare your data in Python using the Azure Machine Learning Data Prep SDK.
Data preparation pipeline
The main data preparation steps are:
- Load data, which can be in various formats
- Transform it into a more usable structure
- Write that data to a location accessible to your models
Review an example notebook of data preparation using the Azure Machine Learning Data Prep SDK.