Self Improvement, Machine Learning Course, Machine Learning, Data Science, Programming.
flexibility to quickly switch between different training parameters to optimize for the best machine learning model. An ML pipeline example from pyspark.ml import Pipeline pipeline = Pipeline(stages = (string_indexer, encoder, vectorAssembler, normaliser)) model = pipeline.fit(df) prediction =