GitHub repository: Jarvis-8035/Content-Based-Movie-Recommender-System
Primary language: Jupyter Notebook
Created: 2019-01-02T15:00:38Z
Description: Developed on Jupytor platform with Dataset Analysis using Functions of DataFrame Class in Pandas Module. It creates a correlation between movies by using Information of a user watching different movies. It recommends movies to a user on basis of good ratings and similarity of the movie to the one watched by user. Matplotlib tool of python is used for Visualising the Data in a Graphical way.