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In this third post of this Apache Spark for Machine Learning series, we are starting to see the power of Apache Spark and how relatively simple Python code in just a few lines can make some powerful predictions on complex datasets using Machine Learning with a relatively simple algorithm (I.e., Naive Bayes). We will continue this series on Apache Spark for Machine Learning with more interesting (and real-world) examples using progressively more complex datasets and algorithms.