Introduction
Predicting the popularity of a song has become very important in the music industry. Data can be easily reached and the listening behaviors of the listeners can be easily observed. This provides convenience in forecasting techniques and it is also frequently used in recommendation systems.
Contents
Choosing the best model for popularity predicition will be done with the following steps 1. Feature engineering 2. Feature selection 3. Model Training 4. Performance metrics
Models used for prediction
At the moment, we will be prediciton popularity using the below 7 models 1.LinearRegression 2.Lasso 3.Ridge 4.XGBRegressor 5.XGBRFRegressor 6.DecisionTreeRegressor 7.BayesianRidge