GitHub - krushna33/Project-Music-Recommender: Song Recommendations System • Employed NLTK for data preprocessing, including Lower-Casing, Stemming, and TF-IDF Vectorization • Implemented Content-Based,Collaborative Filtering with K Nearest Neighbors,integrating cosine similarities • Created interactive Streamlit app for content-based recommendations and integrate

8000 GitHub - krushna33/Project-Music-Recommender: Song Recommendations System • Employed NLTK for data preprocessing, including Lower-Casing, Stemming, and TF-IDF Vectorization • Implemented Content-Based,Collaborative Filtering with K Nearest Neighbors,integrating cosine similarities • Created interactive Streamlit app for content-based recommendations and integrate

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Song Recommendations System • Employed NLTK for data preprocessing, including Lower-Casing, Stemming, and TF-IDF Vectorization • Implemented Content-Based,Collaborative Filtering with K Nearest Neighbors,integrating cosine similarities • Created interactive Streamlit app for content-based recommendations and integrate

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Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
CF_KNN.ipynb		CF_KNN.ipynb
Main_Model.ipynb		Main_Model.ipynb
app.py		app.py

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Song Recommendations System • Employed NLTK for data preprocessing, including Lower-Casing, Stemming, and TF-IDF Vectorization • Implemented Content-Based,Collaborative Filtering with K Nearest Neighbors,integrating cosine similarities • Created interactive Streamlit app for content-based recommendations and integrate

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