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The Kaufland Case [Global Datathon 2018] – Guidelines by Simon Stiebellehner
The Kaufland Case poses an interesting Predictive Maintenance challenge. First, make sure that you understand what the goals and deliverables are. This is perhaps the most important step in the entire Data Science process. It’s crucial for the business value of the result and it ensures that you spend the little time you have on […]