Im new to ML. I'm trying to predict if a new Music Album will exceed X amount of dollars in Sales.I'm looking to build a model to go only after potential best sellers. I do have historic data for Music Sales from 2010 till 2016. I have many signals:Music GenreMusic Band/Artist nameLabelYear releasedCountry of originPart of a Series/Volume... etc.Sales per monthWhat type of ML problem is this one?
Price prediction based on historic data
machine learning
There are two broad classes of problems in machine learning, classification and regression. As in this answer, Regression involves estimating or predicting a response (the dependent variable is continuous). Classification is identifying group membership (the dependent variable is discrete).Your problem is a regression problem, you must try to estimate the real number of sales. You can look here for a similar problem and techniques to solve it. 