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 ...

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 ...

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 ...

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 ...