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