Problems based on movielens data exploration


Assignment Task: MovieLens Data Exploration

Project Data Description:

MovieLens data sets were collected by the GroupLens Research Project at the University of Minnesota.

Datasets: Download from Olympus.

Domain:

Entertainment and Internet

Context:

The GroupLens Research Project is a research group in the Department of Computer Science and Engineering at the University of Minnesota. The data is widely used for collaborative filtering and other filtering solutions. However, we will be using this data to act as a means to demonstrate our skill in using Python to "play" with data.

Datasets Information:

  • Data.csv: It contains information of ratings given by the users to a particular movie.

Columns: user id, movie id, rating, timestamp

  • item.csv: File contains information related to the movies and its genre.
  • Columns: movie id, movie title, release date, unknown, Action, Adventure, Animation, Children's, Comedy, Crime, Documentary, Drama, Fantasy, Film-Noir, Horror, Musical, Mystery, Romance, Sci-Fi, Thriller, War, Western
  • user.csv: It contains information of the users who have rated the movies

Columns: user id, age, gender, occupation, zip code

Objective: To implement the techniques learnt as a part of the course.

Learning Outcomes:

  • Exploratory Data Analysis
  • Visualization using Python
  • Pandas - groupby, merging

Tasks and steps: Please refer the Jupyter notebook

Our professional MovieLens Data Exploration Assignment Help tutors always do a comprehensive research before composing any assignment paper and always write the paper from the scratch, so that, students always get the most genuine assignment work every time.

Tags: MovieLens Data Exploration Assignment Help, MovieLens Data Exploration Homework Help, MovieLens Data Exploration Coursework, MovieLens Data Exploration Solved Assignments

Attachment:- MovieLens Data Exploration.rar

Request for Solution File

Ask an Expert for Answer!!
Python Programming: Problems based on movielens data exploration
Reference No:- TGS03036254

Expected delivery within 24 Hours