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Choose Data Wrangler in the navigation pane. On the Import and prepare dropdown menu, choose Tabular. You can review the generated Data Quality and Insights Report to gain a deeper understanding of the data, including statistics, duplicates, anomalies, missing values, outliers, target leakage, data imbalance, and more.
Data often arrives from multiple sources in inconsistent forms, including duplicate entries from CRM systems, incomplete spreadsheet records, and mismatched naming conventions across databases. Data […] These issues slow analysis pipelines and demand time-consuming cleanup.
Amazon SageMaker Canvas is a low-code no-code (LCNC) ML platform that guides users through every stage of the ML journey, from initial datapreparation to final model deployment. Without writing a single line of code, users can explore datasets, transform data, build models, and generate predictions.
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