Deep Learning for Absolute Beginners — Datasets
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Book 2 of the Data Science Foundations Series

This folder contains the datasets used throughout this book, exported as
plain CSV files.

INCLUDED (built into scikit-learn, exported here as CSV):
- digits.csv          — sklearn.datasets.load_digits() (1,797 rows: 8x8
                         handwritten digit images, flattened to 64 pixel
                         columns, plus the target digit 0-9). Used directly
                         in Chapter 16's final capstone project.
- breast_cancer.csv    — sklearn.datasets.load_breast_cancer() (569 rows,
                         binary classification, used for tabular comparisons)

NOT INCLUDED — a genuine, honest note:
This book's early chapters also reference MNIST (handwritten digits, 28x28,
via tf.keras.datasets.mnist.load_data()) and the Olivetti Faces dataset
(via sklearn.datasets.fetch_olivetti_faces()). Both of these are fetched
automatically over the internet the first time the book's own code runs in
a normal environment, and could not be downloaded here while preparing this
specific archive due to a network restriction in the environment used to
build it. The book's own code for loading them is correct and will work
directly on your own machine with normal internet access — nothing further
is needed from you beyond running it. If useful, a downloadable copy may
also be posted at www.waskeypress.com in the future.

More info and the latest version of this collection: www.waskeypress.com
