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Effective Amazon Machine Learning by Alexis Perrier

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Loading the data

To upload the data, simply click on the upload button and select the titanic_train.csv file that we created earlier on. You should, at this point, have the training dataset uploaded to your AWS S3 bucket. We added a /data folder in our aml.packt bucket to compartmentalize our objects. It will be useful later on when the bucket will also contain folders created by Amazon ML.

At this point, only the owner of the bucket (that is you) is able to access and modify its contents. We need to grant the Amazon ML service permissions to read the data and add other files to the bucket. When creating the Amazon ML datasource, we will be prompted to grant these permissions via the Amazon ML console. We can also modify the bucket's policy ...

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