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Handwritten Digits Recognition: Unlocking the Magic of Machine Learning

1. Handwritten Digits Recognition

IntroductionDataset ImportVisualizationClass BalanceThe Categories in the Data MatrixTrain Test SplittingKNNResultsConfusion MatrixRadius Neighbors Classifier

Handwritten Digits Recognition: Unlocking the Magic of Machine Learning

Train Test SplittingTrain Test Splitting

In Python, the train_test_split function from the sklearn.model_selection module is commonly used to split a dataset into training and testing subsets.

The train_test_split() function randomly splits a dataset into two subsets: a training set and a testing set, based on the specified test size or train size.

Task

  1. Import the train_test_split function from sklearn;
  2. Use the train_test_split() to split X and y into their train and test parts;
  3. Print the size of each of target vectors (train and test).

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Section 1. Chapter 6

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