movies-dataset
There are 3 repositories under movies-dataset topic.
kishan0725 / The-Movie-Cinema
The Movie Database for all language movies
Language:Jupyter Notebook 215- cinedantan
casbah-ma / cinedantan
🎥 🍿 Streaming Public domain movies
Language:JavaScript 56 randfun / movies-dataset
A dataset of films, directors, actresses and actors
Language:JavaScript 17kinoute / moviestills
A small CLI app to scrap high-quality movie snapshots from various websites.
Language:Go 16Recommends top 10 movies for you
Language:Jupyter Notebook 4Imamul5641 / movie_rec
Movie Recommender System developed using Streamlit, Python, and The Movie Database (TMDb) API. It recommends movies based on similarity scores between movies.
Language:Python 2YohanV1 / TheMovieRecommender
The Movie Recommender uses the Streamlit framework for the frontend and cosine similarity for the recommendation system.
Language:Jupyter Notebook 2forhadsidhu / Wiki-Movies-Crawler
API for showing the crawled wiki movies content and list of movies
Language:Python 1- Language:HTML 1
mickrideout / sub-learning-web
Website code for sublearning.com
Language:Clojure 1cla-cif / movie-DB-2000s
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.
Language:Python 0Harshvardhan1999 / The-Movie-Cinema
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.
Language:Jupyter Notebook 0pranaykankariya97 / Analyzing-TMDB-Dataset
The aim of the project is to analyze the TMDB Prediction Dataset.
Language:Jupyter Notebook 0Rahul-Tank-Github / Excel-Dashboard
The goal of this project was to identify revenue trends in movies data and provide insights.
0Sangamjais / Movie-Recommender
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.
Language:Jupyter Notebook 0snehabajaj108 / Web-Scraping-Movies-from-IMDB
Created a python function to automate scraping of top movies from IMDB for any given genre using BeautifulSoup
Language:Jupyter Notebook 0- movie-list3
TinF9 / movie-list3
Search for the movies of your choice and make your custom movie list.
Language:JavaScript 0 mspamelalea / Film-Release-Date-Analysis
Film Release Date Analysis - Collaborative Database, Machine Learning, Tableau and Presentation.
Language:Jupyter NotebookRubenpombo / Movie-Success-Insights
Uncovering insights from more than 5000 movies using diverse visualizations, revealing key factors influencing film success
Language:R
