Data Preparation Strategies for Successful Machine Learning
One of the most common questions about machine learning is “How do I prepare my data for a machine learning project?” In order to run successful machine learning projects, and create highly-accurate predictive models for your business, you need to prepare your data effectively. But this process doesn’t have to be a burden. In this 45-minute session, you'll discover: Efficient methods to explore and organize complex data How to marry multiple datasets for feature engineering Optimal target selection and how to address information leakage
Session ID: Presentation Type: On-Demand Session (Recorded)
Date / Time: [Content On-Demand] @ On Demand ET (US)
Presented by:DataRobot is the leader in enterprise AI, delivering trusted AI technology and ROI enablement services to global enterprises. DataRobot’s enterprise AI platform democratizes data science with end-to-end automation for building, deploying, and managing machine learning models. Click for more details and additional sessions and content.
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