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Taking productive charge of data science projects

Do you want to introduce predictive analytics, machine learning and other intelligent solutions? Our 5-phase concept shows you how to start.

The document describes best practices of successfully implemented data science projects. It provides you with a detailed description of the project steps in the lifecycle of the process, which can be implemented with a variety of tools.


  1. Understanding the business use case
  2. Analysing and preparing the data
  3. Modelling
  4. Evaluating the model
  5. Deployment des Modells

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