/DataScience-WIth-Python-MOVIELENS-PROJECT-

Movielens Dataset Analysis: Aim of this project is to find out what category of movie has the highest rating and liked by people. The GroupLens Research Project is a research group in the Department of Computer Science and Engineering in the University of Minnesota. The researchers of this group are involved in many research projects related to the fields of information filtering, collaborative filtering, and recommender systems.to perform the analysis using the Exploratory Data Analysis technique.

Primary LanguageJupyter Notebook

DataScience-WIth-Python-MOVIELENS-PROJECT-

Movielens Dataset Analysis The GroupLens Research Project is a research group in the Department of Computer Science and Engineering in the University of Minnesota. The researchers of this group are involved in many research projects related to the fields of information filtering, collaborative filtering, and recommender systems.to perform the analysis using the Exploratory Data Analysis technique.

Movielens Dataset Analysis

The details of these projects and the scope of each project are listed in the sections below.  Data acquisition of the movielens dataset • users dataset • rating dataset • movies dataset  Perform the Exploratory Data Analysis (EDA) for the users dataset • Visualize user age distribution • Visualize overall rating by users • Find and visualize the user rating of the movie “Toy Story” • Find and visualize the viewership of the movie “Toy Story” by age group • Find and visualize the top 25 movies by viewership rating • Find the rating for a particular user of user id = 2696 o Visualize the rating data by user of user id = 2696  Perform machine learning on first 500 extracted records • Use the following features: o movie id o age o occupation  Use rating as label  Create train and test data set and perform the following: • Create a histogram for movie, age, and occupation

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