https://github.com/lgope/book-recommender-system

Book recommender system a Collaborative Filtering Based Recommender System using Machine Learning, Numpy, Pandas Python, Flask, Kaggle Dataset
https://github.com/lgope/book-recommender-system

collaborative-filtering flask html-css jupyter-notebook kaggle-dataset machine-learning numpy pandas python

Last synced: 2 months ago
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Book recommender system a Collaborative Filtering Based Recommender System using Machine Learning, Numpy, Pandas Python, Flask, Kaggle Dataset

• Host: GitHub
• URL: https://github.com/lgope/book-recommender-system
• Owner: lgope
• Created: 2023-07-29T17:09:34.000Z (almost 3 years ago)
• Default Branch: main
• Last Pushed: 2023-11-22T19:09:11.000Z (over 2 years ago)
• Last Synced: 2025-01-21T09:48:23.444Z (over 1 year ago)
• Topics: collaborative-filtering, flask, html-css, jupyter-notebook, kaggle-dataset, machine-learning, numpy, pandas, python
• Language: Jupyter Notebook
• Homepage:
• Size: 15.6 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# book-recommender-system

Book recommender system is a Collaborative filtering-based Recommender System using Machine Learning, NumPy, Pandas, Python, Flask, and Kaggle Dataset.

The purpose of this system was to get an idea of how Facebook's automatic friend tagging suggestions and e-commerce sites suggesting necessary items algorithms work.

How I loaded the dataset, How the machine learned from the data and made a model. And how the machine makes predictions based on that

acquired knowledge. To understand these terms and algorithms please visit this file 👉🏻 `book-recommender-system.ipynb`

Kaggle Dataset 👉🏻 https://www.kaggle.com/datasets/arashnic/book-recommendation-dataset

Thanks and happy coding.