Have you ever wondered which book to read next? I often have and to me, book recommendations are a fascinating issue. This external dataset allows us to take a deeper look at data-driven book recommendations.
This Project is splitted into 3 parts:
- Part I: The Story of Book
- Explore the dataset to find some interesting insights.
- Part II: Book Recommender System
- Build Recommender Systems using various techniques.
- Part III: Web App
- Build a web app to try some recommendations from our algorithms.
Note: To run the web app
- from
startopenAnaconda Prompt - then go to the project directory using
cdcommand - type
python app.py - finally, in a new tab in your browser, go to http://127.0.0.1:5000/ and Enjoy!
You can also view and upvote my project on Kaggle:
- Part I: https://lnkd.in/gyDeQEW
- Part II: https://lnkd.in/g-HJABf