ML Together: Unsupervised time series clustering (part 1)

Part of MLTogether Milan #30 Meetup Event: https://www.meetup.com/it-IT/Machine-Learning-Together-Milan/events/277064077/ Github: https://github.com/Machine-Learning-Together-Milano This time we will deal with Unsupervised classification in time series. Clustering is often introduced in all ML courses but not often explored in its applications to real cases. In this series of lectures the basic concepts will be reintroduced but then immediately applied to the case of multivariate time series, deepening a branch of this specific but developing science due to the growing interest in time series topics. In particular, we will look at similarity measures such as DTW or SBD and cutting-edge validation algorithms. But the listener will also be accompanied in the first phase of data preparation through practical advices and methodologies suggested to carry out their own analysis in total autonomy.