Unofficial class for scrap and recollect info from Filmmaffinity
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Updated
Mar 4, 2018 - Python
Unofficial class for scrap and recollect info from Filmmaffinity
Student Project made in ASP .NET at ATEC - Training Academy to manage a film database.
Machine Learning project. Movies Ratings prediction & prediction of White Wine Quality using classification algorithms. The main aim of the project: dive into ML/AI.
A definitive top 10 of Tarantino movies, ranked best to worst
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Ruby library to help you decide which New Zealand International Film Festival films to watch
This is a data visualization of American Film Institute's list of 100 Heroes and Villains using Python.
Ruby IMDB client using the IMDB json web service made available for their iOS app.
🎬🍿 pick a year/genre and let us suggest a random movie
site for rate films :)
Este es un trabajo en grupo para la asignatura de Ingeniería del Software hecho por Xabier Bahillo, Nicolás Martín, Alain Fernández y Asier Oyanguren. Representa una web de recomendaciones de películas respecto a valoraciones recientes y valoraciones de usuarios con gustos parecidos.
One website with the ability to see movies, comment, and rate them! It’s easy and secure! It involves 1. SQL statements, security, and protection against SQL Injection, 2. Data confidentiality – Salt hash, 3. Two operating modes, admin and user role, and 4. Mailing
just a experimental project with React about getting film data using API (Aplication Progamming Interface)
Application to take note of film/tv-series watched and book readings
A Movie Rating Portal for Binge Watcher..😎 Created using basic HTML5,CSS3 and Js
Letterboxd review scraper
Information visualization project tracking and visualizing the cast and crews ratings in the films they have participated
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