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Book Recommender System | Machine Learning Project | Collaborative Filtering Based Recommender
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Machine Learning Projects - Book Recommender System | Machine Learning Project | Collaborative Filtering Based Recommender

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This course includes

  • 30.5 hours of video
  • Certificate of completion
  • Access on mobile and TV

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In this video, we explore a cool Machine Learning project—Collaborative Filtering Based Recommender for books and we break down the Collaborative Filtering technique in a simple way. Share your thoughts, experiences, or questions in the comments below. I love hearing from you! Code - https://github.com/campusx-official/book-recommender-system Data - https://www.kaggle.com/datasets/arashnic/book-recommendation-dataset Learn HTML - https://www.youtube.com/watch?v=jp3gE2Ow6Fw&list=PLKnIA16_RmvaPjreiKXncoLCLQKE0I_9D&ab_channel=CampusX Learn CSS - https://www.youtube.com/watch?v=4d79CMy5-LI&list=PLKnIA16_RmvYz9J-59mtVWLQuPbsWd56P&ab_channel=CampusX ============================ Do you want to learn from me? Check my affordable mentorship program at : https://learnwith.campusx.in ============================ 📱 Grow with us: CampusX' LinkedIn: https://www.linkedin.com/company/campusx-official CampusX on Instagram for daily tips: https://www.instagram.com/campusx.official My LinkedIn: https://www.linkedin.com/in/nitish-singh-03412789 Discord: https://discord.gg/PsWu8R87Z8 ✨ Hashtags✨ #MachineLearningProject #BookRecommender #TechExplained ⌚Time Stamps⌚ 00:00 - Intro 00:51 - Demo 06:51 - Types of Recommender systems 13:37 - Code and Dataset 32:00 - Approach for the project 43:45 - Analyzing the data 57:22 - Creating a project in PyCharm 01:40:00 - Deploying the project on Heroku 01:43:20 - Outro

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