Consider a scenario where you are tasked with tuning hyperparameters for a machine learning model using random search. Describe in detail the steps you would take to implement this method, including how you would select the parameter space, the number of iterations, and how you would evaluate the performance of each set of hyperparameters. Additionally, explain the potential advantages and disadvantages of using random search over grid search. | Databricks Certified Machine Learning - Associate Quiz