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Data Preparation Strategies for Successful Machine Learning


This upcoming 45-minute webinar explores efficient methods to explore and organize complex data, how to marry multiple datasets for feature engineering, and optimal target selection and how to address information leakage.



DataRobot
Data Preparation Strategies for Successful Machine Learning
Sponsored by DataRobot
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 webinar, Andrew Engel, Customer Facing Data Scientist at DataRobot, will show you:
  • 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
In addition, Andrew will share with you how automated machine learning can help you accelerate and optimize the data preparation process on your way to highly-accurate predictive models.
Webinar Details Register Now!
45 minutes including Q&As
Tuesday, May 30 - 1:00 pm ET / 10:00 PT
Speaker: Andrew Engel
Customer Facing Data Scientist
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DataRobot
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