*Here we gonna work on 2 platforms, which are namely: Jupyter Notebook & PyCharm (kindly download the code, given above)
*For Dataset kindly download the .csv files from the below given link;
https://www.kaggle.com/datasets/arashnic/book-recommendation-dataset
https://www.kaggle.com/datasets/arashnic/book-recommendation-dataset?select=Ratings.csv
https://www.kaggle.com/datasets/arashnic/book-recommendation-dataset?select=Users.csv
Execute book-recommender-system.ipynb on jupyter notebook: once done you will see few .pkl files, copy paste those .pkl flies by creating a new project on pycharm
Later run app.py on pycharm, you will be redirected to a webpage!
Hurrahh!! you have done with this exciting project.
Contact: akshendhami@gmail.com, https://www.linkedin.com/in/akshen-dhami22