Book Recommendation System (Scikit-Learn, Cosine Similarity, Numpy, Pandas):
• Developed a recommender system based on a collaborative filtering method and used the cosine similarity function.
• Also used the popularity-based recommender system to give the top 50 books out of datasets of more than 270,000 books.
• Concepts Used- Scikit-Learn, Cosine Similarity, Pandas, Numpy, Matplotlib, Seaborn, FuzzyWord, Kaggle.