Course Content

Recognizing Handwritten Digits

Introduction Dataset Import Visualization Class Balance Index Distribution Train Test Split KNN Classification Report Confusion Matrix Radius Neighbors Classifier

Recognizing Handwritten Digits

Visualization

Our dataset consists of various rows, each depicting pixel values on a grey scale ranging from 0 to 255. Let's display a few of these images.

Task

Extract the feature data (images) from the MNIST dataset and store it in variable X.
Loop through the first 7 images in the dataset and visualize each image using seaborn's heatmap function. Also you need to reshape each image to a 2D array of 28x28 pixels.

Mark tasks as Completed

Everything was clear?

Section 1. Chapter 3

AVAILABLE TO ULTIMATE ONLY

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