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The data is related with direct marketing campaigns (phone calls) of a Portuguese banking institution. Try to classify the following with Amazon ML

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Bank Marketing

The data is related with direct marketing campaigns (phone calls) of a Portuguese banking institution. You can find the data here. Trying to classify it with different frameworks & platforms, and trying to compare the results.

In this repository I am focusing on how to use Amazon ML from your local machine. If you want to use the GUI, follow these 10 simple steps:

  1. Go to aws.
  2. Sign in to the Console
  3. Set region as either US East(Virginia) or EU (Ireland)
  4. Save dataset in a S3 Bucket or Amazon Redshift cluster.
  5. Click on services -> Machine Learning
  6. If you do not have any previously created ML model, click -> Get Started.
  7. Standard Setup -> Launch
  8. Enter bucket name and datasource name(optional).
  9. Create the Data Schema
  10. Enter target variable from your dataset.
  11. Review your datasource info.

When I used Amazon ML I go this result

Summary

More the number of False positive, more the loss incurred by the organization.

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The data is related with direct marketing campaigns (phone calls) of a Portuguese banking institution. Try to classify the following with Amazon ML

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