R Programming
Machine Learning applied to Spotify data
Designed an algorithm to predict the popularity of songs based on various parameters like genre, year of release, acousticness and energy of the song. Performed EDA on the dataset to identify correlations among features and formed hypothesis. Performed feature engineering to clean the existing features and introduce new ones.