Feature selection is one of the most important tasks in machine learning. Random search is a really useful tool in a data scientist's toolbox. It’s a very simple technique very often used, for example ...

To compare and evaluate the different techniques for feature selection in Python, you can use various metrics and tools, such as cross-validation, grid search, learning curves, confusion matrices ...

Feature selection will reduce complexity, reduce the time when training an algorithm, and improve the accuracy of your model -- if we select them wisely. However, this is not a trivial task and to ...

Learn how to automate model selection with Python ML libraries for efficient and effective machine learning workflows. Skip to main content LinkedIn Articles ...