We employed machine learning algorithms to classify Blazars vs. CVs (supermassive space objects). Statistical methods such as quantiles and structure functions were used to reduce dimensionality of time-series data. We implemented and compared performance of PCA combined with CNN vs. Irregular RNN, and our model achieved above 90% accuracy on irregular test data.