Predicting My Next Favorite Book 📚 Thanks to Goodreads’ Data and Machine Learning 👨‍💻
“If you don’t like to read, you haven’t found the right book.” — J.K. Rowling
This article is quite different than the ones you might be used to. I really enjoyed working on it and sharing it with you, I hope you’ll enjoy reading about it 🙂
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I recently realized that I didn’t spend enough time reading. So last year I started challenging myself to read more. It’s around that time that I came across Goodreads, a social network for books. Thanks to this platform, you can see what your friends are reading, have read, how they graded various books etc. You can also record all books you’ve read, save books you want to read and so much more.
A few weeks ago, I discovered that I could download my Goodreads data. As a data-enthusiast, I thought it would be fun to have a look at it and see if I could use it to build personalized book recommendations! Here’s how I dit it 👇
Part 1 — Having Fun With The Data
The data I downloaded contained 441 books. It included the ones I had read (265), the ones I’m currently reading (3) and those I want to read (173). For each book…
