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
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✨ 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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