Its a Python and Machine Learning model which suggests or recommends any movie for further suggetion to the user.
Here we are devoloping a movie recommendation system with the help of KNN model. KNN means K Nearest Neighbours which is a process of classification. KNN finds the nearest training or testing data and then compute on the testing data. Its actual work is calculating distance,comparison and taking out nearest K Neighbors for the prediction. In this project we have used a dataset of movies having 9000 entries. i)First we have fetched the dataset,trained and tested it. ii)Then we have converted the dataset into matrices. iii)Then we have calculated the distance between the matrices and fitted into the model. iv)We have passed the prediction function. v)Final output of the suggestive movies.
Submitted by Aniket Majumder (amajumder022)
Download packets of source code on Coders Packet