In Python, the `train_test_split` function, part of the `sklearn.model_selection` module, is frequently utilized for dividing a dataset into two parts: a **training subset** and a **testing subset**.

This `train_test_split()` function performs a random partitioning of the dataset into these subsets, determined by a predefined **test size** or **train size**.

In this project, our primary objective will be to delve into the identification of handwritten digits through the application of machine learning algorithms. This endeavor aims to harness the power of machine learning to effectively interpret and understand handwritten digits, showcasing the potential of these algorithms in processing and analyzing complex visual information.

In this project, our primary objective will be to delve into the identification of handwritten digits through the application of machine learning algorithms.

Recognizing Handwritten Digits

Train Test Split

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