: Google play store has thousands of apps and several thousand apps are added to its list every day. The competition is so
high that it is difficult for a developer to find out whether he is working in the direction of making a successful app or not. The
success of an app can be determined by factors like ratings, number of installs and reviews. In this paper we have applied
Exploratory Data Analysis to discover relationships among features of an app to predict which app will succeed. Data from
google play store was used to train three different models to predict the success of the app- Random Forest, Support Vector
Machine and Linear Regression.
