DESCRIPTION:
The dataset provided contains movie reviews given by NetFilm customers. Reviews were given between May 1996 and July 2014.
Data Dictionary
UserID – 4848 customers who provided a rating for each movie Movie 1 to Movie 206 – 206 movies for which ratings are provided by 4848 distinct users
Data Considerations
- Viewers who have not watched the movies are not rated. These missing values are represented by NA. - Ratings are on a scale of -1 to 10 where -1 is the least rating and 10 is the best.
Analysis Task
- Exploratory Data Analysis:
Which movies have maximum views/ratings?
What is the average rating for each movie? Define the top 5 movies with the maximum ratings.
Define the top 5 movies with the least audience.
- Recommendation Model: Some of the movies hadn’t been watched and therefore, are not rated by the Viewers. NetFilm would like to take this as an opportunity and build a machine learning recommendation algorithm which provides the ratings for each of the users.
Divide the data into training and test data
Build a recommendation model on training data
Make predictions on the test data
For Solution of this assignment or any such assignment contact Codersarts.
Codersarts is top rated Programming assignment help provider
Comments