MNIST-Classification

MNIST classification using scikit-learn
Classifiers used are -

1. SGDClassifier(for binary classification) - 98% accuracy
2. RandomForestClassifier - 95% accuracy
3. KNeighborsClassifier - 97% accuracy

Improvements

1. Over 97% accuracy can be achieved using KNeighborsClassifier with good hyperparameters values(grid search on weights and n_neighbors hyperparameters)(takes long time)
2. CNN can be used to get over 99%