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MovieLens Data Exploration Assignment Help

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Assignment - MovieLens Data Exploration

Learning Outcomes -

1. Exploratory Data Analysis.

2. Visualization using Python.

3. Pandas - groupby, merging.

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

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.

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Datasets Information:

1. Data.csv: It contains information of ratings given by the users to a particular movie. Columns: user id, movie id, rating, timestamp

2. item.csv: File contains information relatedto the movies and its genre.

3. 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

4. user.csv: It contains information of the users who have rated the movies. Columns: user id, age, gender, occupation,zip code.

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The MovieLens dataset is a large and publicly available dataset of movie ratings and demographics. It is a popular dataset for machine learning and data mining tasks, including recommendation systems, user segmentation, and sentiment analysis.

MovieLens data exploration assignments can be challenging, as the dataset is large and complex. However, they can also be very rewarding, as they provide students with the opportunity to learn about and apply data mining techniques to a real-world problem.

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