Made a Book Recommendation machine learning modelusing multivariable logistic regression , Used labeled dataset og approx 6000 books for visualizing features and training,testing of the model , Employed various modules of sci-kit learn ,seaborn,matplotlib and Numpy libraries in the model . Used confusion matrix to show accuracy score of the mod…
Building a recommendation system and deplying using streamlit
This repo was created as a part of project submission for Microsoft Engage 2022
The project aims to create a Book recommendation system that predicts user interests and recommend the suitable/appropriate books to them ,using various approaches like User based Collaborative Filtering and Item based Collaborative Filtering.
Add a description, image, and links to the book-recommendation-model topic page so that developers can more easily learn about it.
To associate your repository with the book-recommendation-model topic, visit your repo's landing page and select "manage topics."