I’m currently experimenting with Kaggle datasets to improve my machine learning skills.

I created a pipeline that standardizes my data, runs Truncated Singular Value Decomposition, then selects best features.

Now I want to hyper-tune the parameters of the chosen model. But running RandomizedSearchCV is extremely slow.

How to speed up hyperparameter optimization?