Machine Learning with Python: A Practical Beginners’ Guide (Machine Learning From Scratch Book 2) by Oliver Theobald

Author:Oliver Theobald
Language: eng
Format: azw3, epub, pdf
Publisher: Scatterplot Press
Published: 2019-08-14T20:00:00+00:00

Table 8: Built-in datasets available with Scikit-learn, http://scikit-learn.org/stable/datasets/index.html

Code example:

from sklearn.datasets import load_breast_cancer

cancer = load_breast_cancer()

Make Blobs

Using Scikit-learn, you can self-generate a random dataset using a function called make blobs, as used in Chapter 6 with k-means clustering. Again, this data is useful for gaining confidence with a new algorithm rather than unearthing meaningful insight.

Code example:

from sklearn.datasets import make_blobs

data = make_blobs(n_samples=200, n_features=2, centers=4, cluster_std=1.8, random_state=101)

Download

Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.