python.

Automated recognition of handwritten digits has applications in several industries such as Postal and Banking for reading of addressed packages and cheques respectively. In this first assignment you are required to perform digits classification using Nave Bayes and Decision tree. You can download MNIST handwritten digits dataset from any online resource. You are free to use multiple machine learning libraries to implement this task. Each module of your code should be documented elaborating your understanding about the code. In the end compare the performance of both algorithms in terms of accuracy with the help of confusion matrix