Recognition of Handwritten Digit Using Different Machine Learning Algorithms

We humans are unique and different in many differ-ent senses. There is very little chance that two people in this world have the same handwriting. This uniqueness sometimes causes more cost in terms of time, efficiency, resource etc. To overcome these problems and to become more efficient, I am planning to build a classification algorithm that will classify handwritten digits. Various classification model in machine learning are logistic regression, KNN (K-nearest neighbor), Random Forest, ANN (Artificial Neural Network), And Convolutional Neural Network (CNN) etc. These algorithms will help in achieving our goal.