Many Python modules ... for interpreting machine learning models. It offers visualizations for a variety of activities, such as feature importance, residual plots, classification reports and ...

NumPy arrays require far less storage area than other Python lists, and they are faster and more convenient to use, making it a great option to increase the performance of Machine Learning models ...

James McCaffrey of Microsoft Research provides a full-code, step-by-step machine learning tutorial on how to use the LightGBM system to perform multi-class classification using ... language interfaces ...

Many of the trickier elements of a machine-learning-centric Python distribution are also covered. Most of the key libraries—NumPy, Pandas, Jupyter, and interfaces to the R and Julia languages ...