Notice: This page requires JavaScript to function properly.
Please enable JavaScript in your browser settings or update your browser.
Dataset Import | Recognizing Handwritten Digits
Recognizing Handwritten Digits
course content

Course Content

Recognizing Handwritten Digits

test

Swipe to show menu

book
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
test

Swipe to show code editor

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.

Mark tasks as Completed
Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?

How can we improve it?

Thanks for your feedback!

Section 1. Chapter 2
AVAILABLE TO ULTIMATE ONLY
We're sorry to hear that something went wrong. What happened?
some-alt