Machine Learning Process

37 / 38

Let's say you have to build a model which recommends movies to a user based on his past watched history and ratings. Below is the sample dataset.


Movie Ratings


The attributes have the following meaning:

  • User ID - ID of the user
  • Movie ID - ID of the movie watched by the user
  • Rating - Rating given to a movie by the user on the scale of (0-5).

Our task is to build a model which recommends new movies to the user based on his past history and the rating given to various movies.

Which kind of problem is this?


Note - Having trouble with the assessment engine? Follow the steps listed here


No hints are availble for this assesment

Answer is not availble for this assesment

Loading comments...