Data Collection, Document, Knowledge Discovery and Visualization

Explaining black-box models using attribute importance, PDPs, and LIME

Domino Data Lab

AUGUST 1, 2021

Skater provides a wide range of algorithms that can be used for visual interpretation (e.g. A comprehensive list of all attributes and symbol codes is given in the document that accompanies the original dataset. We start by loading the data, setting meaningful names for all attributes, and displaying the first 5 entries.

Modeling

Modeling Deep Learning Machine Learning Knowledge Discovery

Fundamentals of Data Mining

Data Science 101

OCTOBER 31, 2019

This data alone does not make any sense unless it’s identified to be related in some pattern. Data mining is the process of discovering these patterns among the data and is therefore also known as Knowledge Discovery from Data (KDD). Data Collection. Deployment. Common Applications.

Data mining

Data mining KDD Data Science Forecasting

Data Leaders Brief

Explaining black-box models using attribute importance, PDPs, and LIME

Fundamentals of Data Mining

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