Mobile Phones: An Image Classification Problem

Classification is one of the most widely used methods of identifying trends in datasets. These types of algorithms work towards the objective of classifying datasets reliably without employing other data manipulation techniques. Classification algorithms are either Supervised or Unsupervised. Supervised learning uses labelled data to make decisions whereas the latter uses unlabelled data. For E.g., Supervised learning may contend with linear relationships whereas unsupervised will have to contend with unknown relationships (usually clustering). Therefore, depending on the type of dataset, the analyst will have to decide on the appropriate algorithm to employ for a problem.