Summary
In the preprocessing phase, data quality issues are addressed and the data is prepared for modeling. Tools like Data Wrangler provide a graphical interface for easy exploration and preprocessing for training machine learning models.
There’s no one-size-fits-all solution for transforming your data. The best approach depends on the specifics of your dataset and the question you’re trying to answer.
For additional reading, you can refer to the following URLs:
- How to accelerate data preparation with Data Wrangler in Microsoft Fabric
- Explore data for data science with notebooks in Microsoft Fabric
- Notebook visualization in Microsoft Fabric