Working with AWS Glue DataBrew to prepare data without writing code - Part 4/4 | Amazon Web Services

Опубликовано 29 октября 2021, 21:34

In this video you will learn how to perform feature engineering on a data set with commonly used transformations for feature engineering such as Outlier handling, scaling, categorical mapping, one-hot encoding and also learn how to run a job using a Databrew reciepe.

Learn more:
Getting Started with AWS DataBrew - go.aws/2ZLQbP0
Datasets used in the video can be downloaded at - bit.ly/3mqEhCI

Subscribe:
More AWS videos - bit.ly/2O3zS75
More AWS events videos - bit.ly/316g9t4

ABOUT AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers — including the fastest-growing startups, largest enterprises, and leading government agencies — are using AWS to lower costs, become more agile, and innovate faster.

#AWS #AmazonWebServices #CloudComputing #AWSDemo