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The majority of machine learning models contain parameters that can be adjusted to vary how the model learns. For example, the logistic regression model, from sklearn, has a parameter C that controls regularization,which affects the complexity of the model.
How do we pick the best value for C? The best value is dependent on the data used to train the model. Continue reading Machine Learning – Grid Search