Analyzing Popularity of Music Albums

In this project the data set consisting of music album data was pre-processed to remove skewness and multicollinearity. Along with that Spearman correlation and Kendall Tau was used for feature selection and the model was oversampled using SMOTE and trained using Ordinal Regression and Penalized Random Forest to achieve an accuracy of 83%.