Neo4j Graph Example Movies Recommendation
-
Updated
May 31, 2024 - JavaScript
Neo4j Graph Example Movies Recommendation
Built-in Movie Graph Example
Predicting race from faces for movie data
Exploring Singapore's movie trends using data
Python module to scrape data from IMDb Top 250 and parse xml of movie data from OMDb API (www.omdbapi.com)
Predicting Movie Genres
Exploratory data analyses of movie data
Web scraper to scrape movie data from shaw.sg
Build recommendation algorithms via movie data that can be potentially applied to customized content such as music, and ecommerce
Gender prediction in movie audio
scrapes links and data from the box office mojo website
Research and analysis on movie data. Data gathered from TMDB and Movielens and passed through machine learning to create predictive models for which movies would succeed or not.
Standard Data Analysis Process / Data Wrangling/ Data Visualizations/ Trend Analysis
A collection of movies, in which you can search movie by name and genre.
"Movie Search Application" enables you to navigate the cinema universe. Search movies, explore details, create your watchlist and manage it. All this, powered by JavaScript. Dive in and let the film journey begin!
Analyzing my movie-watching data
A beginner-friendly React application that fetches and displays movie data from an API. It uses React Router for navigation and PropTypes for type checking.
Sample about a simple API implementation using Net.Core that returns movie data. Swagger is integrated to be able to make requests from it.
Performed ETL on large datasets and created a PostgresSQL database.
Project using a set of movie data to examine large data sets
Add a description, image, and links to the movie-data topic page so that developers can more easily learn about it.
To associate your repository with the movie-data topic, visit your repo's landing page and select "manage topics."