Features

Finding music items: The system is able to find similar music items and will recommend top 10 song recommendation based on their listening history and popularity using pyspark
Generating recommendations: The system is able to generate recommendations for a user based on the user's preference and input.
Depicting the Importance of Acousticness, Loudness, Tempo, Liveness, danceability and valence using Feature Correlation
Used Spotify API to play songs on the WebApp
Calculated the Accuracy and Area under curve of each algorithm to see which is best for Prediction and Recommendation

Tools and technology

Name		Name	Last commit message	Last commit date
Latest commit History 5 Commits
SpotGenTrack		SpotGenTrack
images		images
.gitattributes		.gitattributes
README.md		README.md
analysisByLocation.ipynb		analysisByLocation.ipynb
app.py		app.py
filtered_track_df.csv		filtered_track_df.csv
load_css.py		load_css.py
popularity.ipynb		popularity.ipynb
recommend.ipynb		recommend.ipynb
style.css		style.css