ImageClassifier using Multiclass Classification (One Vs Rest Approach)

Objective- To build a Supervised Machine Learning Model using OneVsRest Multiclass Classification over MNIST Handwritten Data of Digits

Dependencies-

1. Numpy- To get the images in the form of Numpy array
2. Scikit Learn - To implement ML model
3. Matplotlib- To visualize the data using pyplot class