Classify handwritten digits using the famous MNIST data
The goal of this project is to take an image of a handwritten single digit, and determine what that digit is.
The data for this competition were taken from the MNIST dataset. The MNIST ("Modified National Institute of Standards and Technology") dataset is a classic within the Machine Learning community that has been extensively studied.
More detail about the dataset, including Machine Learning algorithms that have been tried on it and their levels of success, can be found at http://yann.lecun.com/exdb/mnist/index.html.
This project is my solution of the "Digit Recognizer" competition held on Kaggle. More information about the competition can be found at https://www.kaggle.com/c/digit-recognizer.
Note: Extract data files before use.