Over the past few years, streaming services with huge catalogs have become the primary means through which most people listen to their favorite music. But at the same time, the sheer amount of music on offer can mean users might be a bit overwhelmed when trying to look for newer music that suits their tastes.
Decision Trees are supervised machine algorithm that are capable of performing both classification and regression tasks (with multiple outputs). In this project, we will be focusing on Decision Tree Classifier. This algorithm is capable of predicting values of responses by learning decision rules derived from features that are used for training.
Multiple linear regression (MLR), also known simply as multiple regression, is a statistical technique that uses several explanatory variables to predict the outcome of a response variable. The goal of multiple linear regression (MLR) is to model the linear relationship between the explanatory (independent) variables and response (dependent) variable.