pip install -r requirements.txt
Used KNeighbours Classifier, Support Vector Classifier and a Decision Tree Classifier to predict handwritten digits. Checked the accuracy of the three and saved the models as '.p' files using pickle library.
Used a CNN in pytorch to build a model to predict handwritten digits.
All used data in datasets directory. All saved models stored in digit_recognizer_models directory.