Topic: movies-dataset Goto Github
Some thing interesting about movies-dataset
Some thing interesting about movies-dataset
movies-dataset,🎥 🍿 Streaming Public domain movies
Organization: casbah-ma
Home Page: https://cinedantan.com
movies-dataset,Welcome to the 2000s Movie Database, the dataset contains 2100 films released between 2000 and 2009. Data points include title, genre, year, language and country of production, content rating, duration, aspect ratio, director, cast, budget, box office, number of reviews (by critics and users) and IMDB score.
User: cla-cif
movies-dataset,API for showing the crawled wiki movies content and list of movies
User: forhadsidhu
movies-dataset,Content-Based Recommender System recommends movies similar to the movie user likes and analyses the sentiments on the reviews given by the user for that movie.
User: harshvardhan1999
movies-dataset,Movie Recommender System developed using Streamlit, Python, and The Movie Database (TMDb) API. It recommends movies based on similarity scores between movies.
User: imamul5641
Home Page: https://movierecommendation-upm6oy2yyyhskjwqr6n53x.streamlit.app/
movies-dataset,A small CLI app to scrap high-quality movie snapshots from various websites.
User: kinoute
movies-dataset,Recommends top 10 movies for you
User: kishan0725
movies-dataset,The Movie Database for all language movies
User: kishan0725
Home Page: https://tmc.kishanlal.dev
movies-dataset,Movies Library Web Page
User: manalalzeer
movies-dataset,Website code for sublearning.com
User: mickrideout
Home Page: http://sublearning.com
movies-dataset,The aim of the project is to analyze the TMDB Prediction Dataset.
User: pranaykankariya97
movies-dataset,The goal of this project was to identify revenue trends in movies data and provide insights.
User: rahul-tank-github
movies-dataset,A dataset of films, directors, actresses and actors
Organization: randfun
Home Page: https://rand.fun
movies-dataset,Uncovering insights from more than 5000 movies using diverse visualizations, revealing key factors influencing film success
User: rubenpombo
movies-dataset,The main Goal of this movies Recommendation System provides movies suggestions to the users through a Content Based Filtering that is based on browsing history. It is an implementation of Machine Learning Algorithm.
User: sangamjais
Home Page: https://github.com/Sangamjais/Movie-Recommender.git
movies-dataset,Created a python function to automate scraping of top movies from IMDB for any given genre using BeautifulSoup
User: snehabajaj108
Home Page: https://jovian.com/snehabajaj108/web-scraping-imdb
movies-dataset,Search for the movies of your choice and make your custom movie list.
User: tinf9
Home Page: https://movie-list3.netlify.app/
movies-dataset,The Movie Recommender uses the Streamlit framework for the frontend and cosine similarity for the recommendation system.
User: yohanv1
Home Page: https://yohanv1-themovierecommender.streamlit.app/
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