Music Recommendation Using Machine Learning | Beginner Level Project
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Music is a universal language that has the power to connect people from different cultures and backgrounds.
The project involves collecting data on users' listening habits, cleaning and transforming the collected data into a format suitable for training machine learning algorithms, extracting relevant features from the collected data, and developing a machine learning model capable of predicting users' preferences and suggesting music tracks based on their listening history.
Our ultimate goal is to enhance users' listening experience by providing personalized music recommendations, encouraging them to discover new music, and fostering a deeper appreciation for the power of music.
The project involves collecting data on users' listening habits, cleaning and transforming the collected data into a format suitable for training machine learning algorithms, extracting relevant features from the collected data, and developing a machine learning model capable of predicting users' preferences and suggesting music tracks based on their listening history.
Our ultimate goal is to enhance users' listening experience by providing personalized music recommendations, encouraging them to discover new music, and fostering a deeper appreciation for the power of music.
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