AWS Certified Data Analytics Specialty 2021 – Hands-On - (Exercise) Amazon Machine Learning, Part 2

The video tutorial covers the process of training and evaluating a regression model using Amazon Machine Learning. It explains the difference between numerical regression and classification problems, and highlights the importance of data cleaning to improve model accuracy. The tutorial demonstrates real-time predictions and discusses the evaluation results, emphasizing the need for data preparation. It concludes with a cleanup of the model to avoid unnecessary charges.

What was the predicted quantity for the item, and how did it compare to the actual quantity?

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Describe the significance of outliers in the dataset discussed.

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What steps should be taken before feeding data into a machine learning algorithm?

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