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eBook: Getting Started With Predictive Analytics

Data Scientist at Work

Organizations around the world are leveraging predictive analytics and data science automation to gain agility and faster, more accurate decision-making.  If want to move from traditional analytics to an ML-driven predictive process , there are some important steps to follow and must haves you need.

  • Automated data collection with drag and drop data import and flexible database connectivity
  • AI-Focused data preparation that includes data value cleansing, statistical data profiling, and data re-architecting
  • AI-Powered Feature Engineering with feature hypothesis, query generation, and feature relevance validation

Download our free eBook to learn about critical steps in the process and the following 3 key features to accelerate the predictive analytics journey.