movie-dataset

There are 0 repository under movie-dataset topic.

• dojutsu-user / IMDB-Scraper

  Scrapy project for scraping data from IMDB with Movie Dataset including 58,623 movies' data.

  imdb-webscrappingmovie-datasetpython3scrapyscrapy-crawlerscrapy-frameworkweb-scraping
  Language:Python 50

• usc-sail / mica-MovieCLIP

  This repository contains the codebase for MovieCLIP: Visual Scene Recognition in Movies

  computer-visionmovie-datasetmultimedia-processingmultimodal-learningscene-recognitionvideo-understanding
  Language:Python 26

• apetrogianni / deep_movie_classification

  deep-learningmovie-datasetpytorchvideo-classificationvideo-classification-pytorchvideo-datasetvideo-processinglstm
  Language:Python 3

• philomathic-guy / Friend-recommendation-using-movie-data

  datasetfriend-recommendationimdb-datasetjaccard-similaritymappermapreduce-javamovie-datasetreducer
  Language:Java 2

• arnav-deep / MovieRecommendation

  Movie Recommendation based on movie plot using LDA Topic Modelling

  machine-learningmachine-learning-projectmovie-datasetmovie-recommendationnlppythonrecommendation-systemtopic-modeling
  Language:Python 0

• chellseacarmel / Movie-Data-Dashboard

  An interactive web app-based data dashboard displaying intuitive graphs, charts, and filters, for users to explore a wealth of information about movies, from box office earnings and critical ratings to genre trends built using JavaScript and Flask

  data-dashboardflaskjavascriptmovie-datasetpython
  Language:JavaScript 0

• hajarbenjat / MovieRecommendationSystem

  This is a Movie Recommendation System that uses collaborative filtering techniques to provide personalized movie recommendations based on user ratings and preferences. The system also includes data cleaning, preprocessing, and exploratory data analysis (EDA) to gain insights into the dataset.

  ai-mldata-analysis-pythondata-visualizationgithub-repositorymachine-learningmovie-datasetmovie-recommendationpythonrecommendation-system
  Language:Jupyter Notebook 0

• Imamul5641 / Movie_Recommendation

  Movie Recommender System developed using Streamlit, Python, and The Movie Database (OMDb) API. It recommends movies based on similarity scores between movies.

  movie-datasetnltk-pythonomdb-apipython3streamlit
  Language:Jupyter Notebook 0

• mhasegawa7045 / IMDB_Movie_Ratings_Bias_Project

  The project creates a data analysis with R programming to determine if a film's IMDB ratings, directors, actors, genres, metascores, runtimes, and revenue affect the success of a movie and create bias reviews. The project further explores how IMDB ratings and metascores affect and correlate with each other. The raw dataset, IMDB_movies.csv, was used for this project to determine if a film's success and reviews are biased.

  imdb-moviesdata-sciencedata-analysisr-programmingfilmsmovie-datasethtml
  Language:HTML 0

• timetoai / movie_data_vis

  Movie dataset visualization

  d3-visualizationd3jsjavascriptmoviemovie-datasetvisualization
  Language:Jupyter Notebook 0

• dhruwsunita / Movie-Recommendation-System

  Movie Recommendation System using Python, Machine learning and Streamlit

  content-based-recommendationdata-sciencemachine-learningmovie-datasetmovie-recommendation-systempythonstreamlit
  Language:Jupyter Notebook

• kimjinho1 / Movies-Recommender-System

  영화 추천 시스템

  recommender-systemmovie-datasetnltksklearnpandasnumpysurprise-librarysvdcosine-
  Language:Jupyter Notebook

• luthra2059 / Sentiment-Analysis-with-scikit-learn

  This notebook contains the sentimental analysis of the movie reviews on imdb.

  logistic-regressionmovie-datasetnltk-librarysentimental-analysissklearn-library
  Language:Jupyter Notebook