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By using the Spark libraries of StringIndexer, OneHotEncoder, VectorAssembler, and Normalizer, we can ensure all the pre-processing is fully aligned and taken care of before the ML model takes place. The idea is to condense these pre-processing parts into “Pipelines” and take advantage of this