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

Kurssisisältö

Recognizing Handwritten Digits

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.

Tehtävä

Swipe to start coding

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.

Ratkaisu

Mark tasks as Completed
Switch to desktopVaihda työpöytään todellista harjoitusta vartenJatka siitä, missä olet käyttämällä jotakin alla olevista vaihtoehdoista
Oliko kaikki selvää?

Miten voimme parantaa sitä?

Kiitos palautteestasi!

Osio 1. Luku 2
AVAILABLE TO ULTIMATE ONLY
Pahoittelemme, että jotain meni pieleen. Mitä tapahtui?
some-alt