Modeling and Prediction for Movies
-
Updated
May 16, 2019 - HTML
Modeling and Prediction for Movies
This is an effort to analyze the popularity of deep learning related repositories on github.
PubConf: Oops! I Got Popular?
Zemoga application made to recollect data about the public opinion on certain leaders and celebrities.
Small application to edit/retrieve the metadata of songs located in a given folder. It's also used to download the lyrics and cover image of the songs .It can be also used to generate the popularity of your songs and the upcoming concerts
Identify best tweeting practices by hospitals in Illinois during COVID-19. Also find factors affecting popularity of a tweet.
adds BTDigg popularity chart for Bit-torrent magnet-links
Netflix vs Disney+ reputation in USA and Europe using Sentiment Analysis on Tweets (from 1 February 2020 to 8 February 2020)
Find the most followed upcoming Steam games.
🪖 Rapid technological evolution as a consequence of the war's urgent demands.
A Powerful Tool for Live Crowd and Traffic Data.
Build recommendation algorithms via movie data that can be potentially applied to customized content such as music, and ecommerce
Angular 9 app for displaying nearby places not currently experiencing peak business hours. To help us keep the curve flattened by managing crowd and queue sizes at popular businesses
Uses tags to rank your ever-growing reading list based on social networks relevance
Rank the popularity of malware applications by their occurrence on VirusTotal
Find a list of popular Steam appIDs.
Machine learning models are used to predict song popularity by analysing various features of the song, such as tempo, genre, artist, and lyrics. In this project, i aim to compare the performance of different machine learning models for predicting song popularity.
Laravel Package for Tracking popular item in Eloquent models
Add a description, image, and links to the popularity topic page so that developers can more easily learn about it.
To associate your repository with the popularity topic, visit your repo's landing page and select "manage topics."