INGLEWOOD, Calif. – Once upon a time – in high school, to be exact – current Rams defensive end Kobie Turner played tight end. He put that catching experience to good use last week with his first ...

🔧 Combine feature selectors with classifiers and regressors in a seamless pipeline using scikit-learn compatible meta-estimators for enhanced machine learning.

Abstract: Feature selection (FS) is a critical step in machine learning (ML) applications, particularly in the maritime transportation domain, where large-scale data from sensors, weather conditions, ...

Abstract: Fuzzy rough set theory has made significant strides in the field of feature selection. However, it still faces challenges when dealing with noisy data. Most traditional models fail to ...

Python’s new template strings, or t-strings, give you a much more powerful way to format data than the old-fashioned f-strings. The familiar formatted string, or f-string, feature in Python provides a ...

A set of notebooks that leverage classical ML algorithms and DL neural nets using TF, Keras and Theano to address a series of issues in the field of conservation and biology.