Project on Recommendation Engine - Book Recommender

This hands-on project-based course guides learners through the process of designing, developing, and evaluating a functional Book Recommendation Engine using Python and data science techniques. Beginning with foundational principles, learners will identify key components of recommender systems, prepare structured datasets, and apply user-driven filters to generate personalized recommendations. In the advanced stages, learners will construct content-based filtering models using textual data, extract meaningful features with TF-IDF and Count Vectorizers, and compute similarity scores to rank it…