Description
PyData DC 2016
Visualization has a critical role to play throughout the analytic process. Where static outputs and tabular data can obscure patterns, human visual analysis can open up insights that lead to more robust data products. For Python programmers who dabble in machine learning, visual diagnostics are a must-have for effective feature analysis, model selection, and parameter tuning.