Hello Everyone, I am Yashwant Kumar and I am going to show you that which is best ML model for hand written Digits classification. Handwriting Recognition: Recognizing Handwritten Digits with scikit-learn : The scikit-learn library provides numerous datasets that are useful for testing many problems of data analysis and prediction of the results. Also in this case there is a dataset of images called Digits. This dataset consists of 1,797 images that are 8x8 pixels in size. Each image is a handwritten digit in grayscale, So I am going to show al work on Jupyter Notebook, SO let's start Notebook and Load digits data set by following code: from sklearn.datasets import load_digits digits = load_digits() as shown in fig1 fig 1 I have also explore digits data set using some codes: dir(digits) by this I have seen all the directory available in data set and using digits.target_names digits.data I have seen all target names and data available in data set Here you have...