AMAZON WEB SERVICES

SageMaker Data Wrangler provides a Data Quality and Insights report that automatically verifies data quality (such as missing values, duplicate rows, and data types) and helps detect anomalies (such as outliers, class imbalance, and data leakage) in your data. Once you can effectively verify data quality, you can quickly apply domain knowledge to process datasets for ML model training... The SageMaker Data Wrangler Quick Model feature provides an estimate of the expected predictive power of your data. Quick Model automatically splits your data into training and testing datasets and trains the data on an XGBoost model with default hyperparameters. Based on the task you are solving (for example, classification or regression), SageMaker Data Wrangler provides a model summary, feature summary, and confusion matrix, which help you quickly iterate on your data preparation flows... SageMaker Data Wrangler offers a selection of 300+ prebuilt, PySpark-based data transformations so you can..

Also known as: Amazon Web Services, Inc., SageMaker Data Wrangler