Course description

Python can be used to build such a system, which involves collecting data, preprocessing it, extracting features, training the model, evaluating it, and deploying the system. Python libraries such as NumPy, Pandas, Scikit-Learn, TensorFlow, Keras, and PyTorch can be used for this purpos

What will i learn?

• The system will be able to provide personalized recommendations to users based on their music preferences.
• By providing relevant music recommendations, users are likely to spend more time on the platform and engage with more content.
• Users are more likely to have a positive experience with the platform if they are provided with relevant and personalized music recommendations.
• The recommendation system can help users discover new music that they may not have found otherwise
• By providing a better user experience and increasing user engagement, the recommendation system can ultimately lead to increased revenue for the platform.