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Code – https://github.com/campusx-official/book-recommemender-system
Data – https://www.kaggle.com/datasets/arashnic/book-recommendation-dataset
Learn HTML – https://www.youtube.com/watch?vjp3gE2Ow6Fw&listPLKnIA16_RmvaPjreiKXncoLCLQKE0I_9D&ab_channelCampusX
Learn CSS – https://www.youtube.com/watch?v4d79CMy5-LI&listPLKnIA16_RmvYz9J-59mtVWLQuPbsWd56P&ab_channelCampusX
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Discord: https://discord.gg/PsWu8R87Z8
Hashtags
#MachineLearningProject #BookRecommender #TechExplained
Timestamps
00:00 – Introduction
00:51 – Demo
06:51 – Types of recommender systems
1:37 p.m. – Code and dataset
32:00 – Approach to the project
43:45 – Analyze data
57:22 – Creating a project in PyCharm
01:40:00 – Deployment of the project on Heroku
01:43:20 – Exit
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