{"repo":"Rpita623/Movie-Recommendation-System-using-R_Project","free":true,"listed":false,"github":"https://github.com/Rpita623/Movie-Recommendation-System-using-R_Project","clone":"git clone https://github.com/Rpita623/Movie-Recommendation-System-using-R_Project.git","description":"Movie Recommendation System: Project using R and Machine learning","language":"R","stars":44,"topics":["rprogramming","data-visualization","data-science","data-analysis","datascience","rstudio","recommender-system","recommendation-system","recommendation-engine","recommendation"],"license":null,"category":"machine-learning","readme_excerpt":"Movie Recommendation System: Project using R and Machine learning Aim of Project The main goal of this machine learning project is to build a recommendation engine that recommends movies to users. This R project is designed to understand the functioning of a recommendation system. I developed an Item Based Collaborative Filter . This helped me gain experience of implementing my R, Data Science, and Machine learning skills in a real-life project. Dataset used I have used the MovieLens Dataset. That data I have used consists of 105339 ratings in the file, applied over 10329 movies in the . Essential Libraries , , and . Data Pre-processing After retrieving data from the and datasets, I observed that the userId column, as well as the movieId column, consisted of integers. Furthermore, I needed to convert the genres present in the movie data dataframe into a more usable format by the users. In order to do so, I first created a one-hot encoding to create a matrix that comprises of corresponding genres for each of the films. I then created a that will allow us to perform an easy search of the films by specifying the genre present in our list. There are movies that have several genres. For the movie recommendation system to make sense of the ratings through , I convert the matrix into a sparse matrix. This new matrix is of the class . I then overviewed some important parameters that provided various options for building recommendation systems for movies. Collaborative Filtering - Exp","default_branch":null,"files":null,"tree":[],"storefront":"/r/Rpita623","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/Rpita623/Movie-Recommendation-System-using-R_Project/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}