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Splitting the advertising data (advertising.csv) into training and testing data sets, then choosing and training a classification machine learning algorithm; Getting the accuracy of the ML model; Using feature engineering skills to create new features and improve my ML model;

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feature-engineering machine-learning machine-learning-model model-accuracy testing-data training-data classification-algorithm jupyter-notebook machine-learning-algorithm python

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