Hyperparameter Tuning Using Random Search Preliminaries /* Load libraries */ from scipy.stats import uniform from sklearn import linear_model, datasets from sklearn.model_selection import RandomizedSearchCV Load Iris Dataset /* Load data */ iris = datasets.load_iris() X = iris.data y = iris.target Create Logistic Regression /* Create logistic regression */ logistic = linear_model.LogisticRegression() Create Hyperparameter Search Space /* … Continue reading Machine Learning for Beginners in Python: Hyperparameter Tuning Using Random Search