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Recognizing Handwritten Digits
course content

Course Content

Recognizing Handwritten Digits

Recognizing Handwritten Digits

IntroductionDataset ImportVisualizationClass BalanceIndex DistributionTrain Test SplitKNNClassification ReportConfusion MatrixRadius Neighbors Classifier

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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

  1. Extract the feature data (images) from the MNIST dataset and store it in variable X.
  2. 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.

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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

  1. Extract the feature data (images) from the MNIST dataset and store it in variable X.
  2. 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
Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Section 1. Chapter 3
AVAILABLE TO ULTIMATE ONLY
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