Simple Naive Bayes digit classifier without libraries being used; made in early 2019.
Based on Supervised Machine Learning Modelling and classifying handwritten images across training and test data sets.
Approximately 76% MNIST accuracy.
ameyashahane / bayesmodeling Goto Github PK
View Code? Open in Web Editor NEWNaive Bayes Classification of MNIST written in C++ without external libraries.