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Hands-On Automated Machine Learning
book

Hands-On Automated Machine Learning

by Sibanjan Das, Umit Mert Cakmak
April 2018
Beginner to intermediate content levelBeginner to intermediate
282 pages
6h 52m
English
Packt Publishing
Content preview from Hands-On Automated Machine Learning

Visualizing high-dimensional datasets

What about visually inspecting datasets that have more than three dimensions? In order to visually inspect your dataset, you need to have a maximum of three dimensions; if not, you need to use specific methods to reduce dimensionality. This is usually achieved by applying a Principal Component Analysis (PCA) or t-SNE algorithm.

The following code will load the Breast Cancer Wisconsin Diagnostic dataset, which is commonly used in ML tutorials:

# Wisconsin Breast Cancer Diagnostic Datasetfrom sklearn.datasets import load_breast_cancerimport pandas as pddata = load_breast_cancer()X = data.datadf = pd.DataFrame(data.data, columns=data.feature_names)df.head()

Output in the console is as follows:

 mean radius ...
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Publisher Resources

ISBN: 9781788629898Supplemental Content