Advanced examples

[arefjadda]

Added three new examples:

• audio_features_analysis.py: This example focuses on leveraging Spotipy's audio features. It demonstrates how to fetch audio features of tracks from a playlist and perform analysis using libraries like pandas and seaborn. Users can explore correlations between different audio features and visualize the results.
• personalized_playlist.py: This example demonstrates how to create a personalized playlist. It showcases the process of fetching tracks based on user preferences, selecting and clustering tracks using k-means clustering, and creating a new playlist with the selected tracks.
• track_recommendations.py: This example showcases how to utilize the track recommendation feature. It guides users through the steps of retrieving recommendations based on their listening history or liked tracks, and provides guidance for generating recommendations.