Replicating work of Claude Shannon which seeks to compute the information content of English language and predicting the alphabets given previous characters
We classify the MNIST dataset i.e., digits from 0-9 using PCA for Dimensionality reduction and kNN as classifier and also we show the relationship between number of training images and classification accuracy.