Customers segmentation with Unsupervised Algorithms

Unsupervised learning is that field of Machine Learning which deals with unlabeled data. It means that the final goal of our algorithm is not finding the proper membership of a new observation based on its features. In fact, our algorithm will be able only to segregates in two or more classes the available entries, based […]

Unsupervised Learning: PCA and K-means

Machine Learning algorithms can be categorized mainly into two bunches: supervised learning: we are provided with data which are already labeled, hence our aim will be finding, once provided with a new observation, its category (in case of a classification task) or its numerical value (in case of a regression task);unsupervised learning: in this case, […]