Supercharging Machine Learning Regression in Python

Getting useful results from machine learning is a process of experimentation, fine-tuning, and trying multiple models and algorithms. Each type of estimator has its own set of hyperparameters, which must be exhaustively searched and cross-validated. This process can take a while, even on a machine with lots of cores and memory.

In this Free Code Friday, we will check out a code example with scikit-learn and Spark that does just that.

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