AWS – Detect multicollinearity and easily export results in a few clicks with Amazon SageMaker Data Wrangler

Amazon SageMaker Data Wrangler reduces the time it takes to aggregate and prepare data for machine learning (ML) from weeks to minutes. With SageMaker Data Wrangler, you can simplify the process of data preparation and feature engineering, and complete each step of the data preparation workflow, including data selection, cleansing, exploration, and visualization from a single visual interface. Starting today, you can use new capabilities of Amazon SageMaker Data Wrangler that make it easier and faster to prepare data for ML including: multicollinearity detection, easy export of results to Amazon S3, support for column delimiters, and the ability to reuse the same SageMaker Data Wrangler flow on different datasets of your choice.

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