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Review on Openscoring by Aaron Collins

Revainrating 5 out of 5

Easy-to Use Tool For Building Your Own ML Pipelines

The best thing about this tool has been its ability to create very complex models using R or Python, which can be used in different environments such as Azure Machine Learning Service. It was also easy to use for me since I have no programming experience but only knowledge of data science tools like pandas/python and Excel. There are some features missing from it compared with other services such as Google Cloud Platform's Data Studio - these include automatic creation of metrics tables when you add new variables into your model. If there were more tutorials available online then this would make things easier for people who want to learn how to build their own predictive modelling solution without having any coding skills. We needed an affordable way to train our machine learning engine before we could deploy it within Microsoft 365. This allowed us to test out several algorithms quickly and easily while not spending money upfront. Our main benefit so far has come.

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Pros
  • Simplified training workflow
  • Good tutorial material made accessible right at launch including video instructional content that is linked directly back inside OpenScored.
  • Easy customization if need additional preprocessing steps (such adding mean centering) along side simple metric visualization capabilities via Tableau server integration
Cons
  • Nothing here