In this Machine Learning with Python tutorial we explore techniques from the open source Python machine learning diagnostics library Scikit-Yellowbrick that can help make machine learning more informed. How visual diagnostic tools like correlation matrices, radial visualizations, manifold embeddings, validation and learning curves, residuals plots, classification heatmaps, and more can provide visceral cues that enable us to identify better models, faster, and at lower cost to our organizations.
#machinelearning #python #machine-learning
7.50 GEEK