To get a better idea of the service quality of every customer in the network, we use something called the happiness index, which is a metric that estimates a user’s experience in the network using data from the cell towers.
In this task you are provided with two data sets, both of which contain the data usage profiles of a sample of users with 1-minute intervals, while using a specific service. One of the data sets has the happiness index calculated for each minute, while the other data set, YouTube usage data, does not. The aim of the challenge is to produce a model that assigns each datapoint of YouTube measurements a user experience score ranging from 0 to 1, where 0 means good experience and 1 means bad experience.
