Dataset Import

Begin by importing the necessary data for your upcoming analysis.

Utilize the fetch_openml function from the sklearn.datasets module, a component of the widely used scikit-learn library for machine learning in Python, to access and retrieve datasets from the OpenML repository. Specifically, for this task, it's employed to acquire the MNIST dataset, a renowned collection of handwritten digits frequently employed in image classification challenges.

Task

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You are required to import the MNIST dataset ("mnist_784"), a popular dataset used for training image processing systems, into your Python environment using the fetch_openml function from the sklearn.datasets module.

Solution

# Import the fetch_openml function from sklearn.datasets to access open datasets

from sklearn.datasets import fetch_openml

# Fetch the MNIST dataset

mnist = fetch_openml("mnist_784", version=1, as_frame=False, parser='auto')

# Convert the target labels from strings to integers

mnist.target = mnist.target.astype(int)

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Section 1. Chapter 2

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