Project for Machine Learning Fall 2016 at ETHZ.
Features
This folder should include py scripts that load the images, create features and then dumps the data (the features) to a file with the same name. This is so we only have to create the features once, not each time.
Model
This folder should include py scripts that loads in the previously created features, creates a model from them, and dumps the model to a file using joblib of scikit learn package.
Submission Scripts
This folder should include the actual scripts that apply the previously created models on the test data and puts the predicted values in a CSV to be submitted to Kaggle