For a given physical product, we want to be able to predict which component will fail on the product and when.
All products have the same attributes, e.g. product code, date of manufacture, quantity of uses, along with history of component names, component failure, component failure severity and component failure date.
For the physical product, we also have the component failure history.
The data is ready to load and currently stored in AWS S3.
We currently have a prototype in Sagemaker but it does not allow us to pass in the history of the physical product we want to predict the component failure on and it does not return when a product component is likely to fail.
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Hi I work on machine learning and deep learning using Python libraries. Please share some sub set of your data for this predictive analysis so I can ask question in detail. Thanks