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In this meetup, we’re going to put ourselves in the shoes of an electric car manufacturer that produces all the parts for their cars in house. First, we’ll show you an example of how this fictional car company could walk through the process of creating a prediction model based on part production data. We will then automate the creation of these models, built using XGboost (an open-source software library which provides a regularizing gradient boosting framework for a number of programming languages), by making them depending on an upstream data collection process. To finish it off, we’ll deploy these models and make them accessible via an external API all within a native cloud environment using the Cloudera Data Platform.
For a preview of the content we'll be covering, we've got the following resources:
Cloudera Users Page:
Due to the ongoing nature of the new corona virus pandemic, this will be an online event. Use the hyperlink provided to participants upon registration to view and interact with the "live stream".
Come join us to see how we’ve linked all these concepts together and hopefully inspire similar solutions of your own!