MNIST Digit Recognizer

Project information

The goal of the project is to identify images of handwritten digits 0 to 9 through machine learning models. This was done as part of a Data Analytics course during my Master's degree.

The 2 machine learning algorithms used were Naive-Bayes Classifier and Random Forest Classifier. By training the labelled dataset, I could accurately identify about 96% of the unlabelled data.