Quick guide on Deep Learning for Time-series Multi-Label Classification

Working on time-series data is quite cumbersome, considering a variety of components in the data and the steps to be taken in preparing the data for training from the raw data dump. Moreover, employing Machine Learning or Deep Learning models on such a data form is quite tricky especially if you are new to this domain. In this article, I want to share my observations and a few tips on how to tackle some of the major problems in the multi-label classification of time-series data.