6 Steps to Master Data Preparation for Machine Learning

Profiling, cleaning, and standardizing data for machine learning is very time-consuming. In most projects, up to 80% of the time is spent on data preparation – time that could be better spent testing, tuning, and optimizing the models.

A new Paxata eBook offers a solution to this problem. Download it to learn:

  • Six critical steps for preparing your data for machine learning initiatives
  • How self-service data preparation can accelerate your projects
  • The key features of Paxata that helps you prepare data without coding
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