Book recommendation system is to predict buyer’s interest and recommend books to them accordingly. A book recommendation system can take into account many parameters like ratings count and language code by filtering user reviews. various attributes were analyzed before choosing the parameters using seaborn and various python libraries.
install Python, jupyter notebook to run the project
The project is using k - Nearest neighbor algorithm and min max scaler to transform the data. Used numpy and pandas library for statistics and preprocessing of data
Import the relative path of the dataset clone the project and install all the required libraries and run the ipynb file in jupyter notebook.