Pseudo-labeling a simple semi-supervised learning method - Data, what now?

The foundation of every machine learning project is data – the one thing you cannot do without. In this post, I will show how a simple semi-supervised learning method called pseudo-labeling that can increase the performance of your favorite machine learning models by utilizing unlabeled data. Does that mean that unlabeled data is useless for supervised tasks like classification and regression? Aside from using the extra data for analytic purposes, we can even use it to help train our model with semi-supervised learning – combining both unlabeled and labeled data for model training. The main idea is simple.