Learn how to create parallel coordinates plot in Python and overcome common issues with data preprocessing, axis selection, order, color, opacity, interactivity, and library.

Machine Learning classifier comparison GUI application. Choose 21 classifiers, evaluation data (optional for evaluation of synthetic data), hyperparameters, cross-validation splits, and rng seed; ...

The best parallel processing libraries for Python. Ray: Parallelizes and distributes AI and machine learning workloads across CPUs, machines, and GPUs.

Pierre Glaser from INRIA gave this talk at EuroPython 2019. "Modern hardware is multi-core. It is crucial for Python to provide high-performance parallelism. This talk will expose to both ...

Parallel coordinates plot is a useful technique for visualizing high-dimensional data in Python. It allows you to compare multiple variables and identify patterns, outliers, and correlations.