Follow Datanami:

The Essential Guide to Feature Selection


Feature selection is a key step in building powerful and interpretable machine learning models, but it’s also one of the easiest to get wrong. The wrong features will give you inaccurate answers and may impact your ML models’ efficiency in ways you can’t predict. This guide focuses on establishing a reliable feature selection process that will pay dividends when you move your models into production.

Register to download the paper.



Do NOT follow this link or you will be banned from the site!
Share This