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Distributed Machine Learning and Its Implementation with H2O

Challenge: Analyzing Clusters

Explore how to perform K-Means clustering using the H2OKMeansEstimator on a driver dataset. Learn to identify distinct driver segments by analyzing cluster-specific box plots, enhancing your skills in unsupervised learning and data exploration with H2O.

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Problem statement

This challenge centers on a dataset profiling drivers with key features like Avg_Distance_per_Day, ...