Conteúdo do Curso
Recognizing Handwritten Digits
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.
Tarefa
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.
Obrigado pelo seu feedback!
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.
Tarefa
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.