movie-recommendation-system

There are 142 repositories under movie-recommendation-system topic.

  • DataScienceCapstone1

    Movie Recommendation System for Professional Data Science Capstone Project Harvard University, 1st Capstone Project using R programming

    Language:R1
  • Movie-Recommendation-Engine-R

    An R-based engine to recommend movies using collaborative filtering.

    Language:R
  • Coding-Raja-Technologies-Internship

    This is a Movie Recommendation System with a Web Interface done for my internship purposes at Coding Raja Technologies.

    Language:Jupyter Notebook
  • User-based-Collaborative-Filtering-Movie-RS

    Project based on Collaborative Filtering Recommendation System (User-Based) using Streamlit on movies dataset

    Language:Jupyter Notebook
  • Item-based-Collaborative-Filtering-Movie-RS

    Project based on Collaborative Filtering Recommendation System (Item-based) using Streamlit on movies dataset

    Language:Jupyter Notebook
  • Content-Based-Movie-RS

    Project based on Content Based Recommendation System using Streamlit on movies dataset

    Language:Jupyter Notebook
  • Movie-Recommendation-System

    Movie Recommendation System using Python

    Language:Jupyter Notebook
  • Movie-Recommendation-System-using-ML

    This project aims to provide movie recommendations based on user input and suggests movies that are similar in content or style to the one provided by the user, enhancing their movie-watching experience. 'cosine_similarity' function from sklearn is used to calculate the similarity between the user's input movie name and the movies in the dataset.

    Language:Jupyter Notebook
  • Movie-Recommendation-System

    Movie Recommendation System using Python, Machine learning and Streamlit

    Language:Jupyter Notebook
  • MovieMiner

    Movie Recommender System - MovieMiner API Deployment on Render built on Python Flask as backend and React for frontend with deployment on Netlify

    Language:JavaScript
  • movie-recommender-system

    An AI driven Python web application which recommends movies based on user's search result. It implements a ML model based on sentiment analysis and content based filtering. The application uses Streamlit to create interactive web user interface.

    Language:Jupyter Notebook
  • Build_a_Movie_Recommendation_System

    Build a machine learning model that can recommend movie based on user preference.

    Language:Jupyter Notebook
  • movie_recommender_system

    This Movie Recommender System is designed to recommend movies to users based on their preferences. It utilizes various Python libraries such as Pandas, Numpy, and custom Streamlit components for an interactive experience. The system has two primary recommendation mechanisms: genre-based recommendations and personalized recommendations using IBCF

    Language:HTML
  • Movie-Recommender

    A movie recommender written in Go that suggests movies considering various factors within a particular dataset, encompassing users, movies, and movie ratings.

    Language:Go
  • movie-rec-system

    🎞️ MOVIE RECOMMENDER SYSTEM

    Language:Jupyter Notebook
  • Tazama-A-Django-Movie-Recommendation-Web-App

    Tazama is a movie recommendation web app built with Django. It also features a mini-blog to add a social touch to the platform

    Language:Jupyter Notebook
  • movie-rs

    A Movie Recomendation system build in python django

    Language:JavaScript
  • movie-recommendation-system

    Our recommendation system utilizes a combination of collaborative and content-based filtering techniques, analyzing your movie preferences and comparing them with other users to suggest movies you might enjoy. We also consider factors like genre, director, and actors to provide a diverse selection of recommendations.

    Language:Jupyter Notebook
  • CODSOFT

    Discover a collection of AI projects developed during the Codsoft AI Internship, showcasing advanced skills in AI programming. These projects demonstrate proficiency in various AI domains, from chatbot implementation to strategic gameplay and personalized recommendation systems.

    Language:Jupyter Notebook
  • YBI-Foundation-Analytics-Projects

    Embark on a journey through personalized movie insights with "Movie Match" and delve into predictive modeling with "Micro-Numerosity Analysis." Uncover demographic features and reviews, blending sophistication with actionable intelligence in YBI Foundation's Analytics Hub.

    Language:Jupyter Notebook
  • Movie-Recommend-System

    This is my major project based on Data Science, Machine Learning, Python, Streamlit etc. This is basically a Movie Recommended System that Recommends 5 movie based on search movies.

    Language:Jupyter Notebook
  • Movie-Recommended-System

    This is my major project based on Data Science, Machine Learning, Python, Streamlit etc. This is basically a Movie Recommended System that Recommends 5 movie based on search movies.

    Language:Jupyter Notebook
  • Movie-Recommendation-System

    Content Based Movies Recommendation System Using Cosine Similarities

    Language:Jupyter Notebook
  • Movie_Recommendation_System

    Explore personalized movie recommendations on GitHub with our Python Flask-based system.

    Language:Python
  • InfoaidTech

    Projects on Machine Learning Internship

    Language:Jupyter Notebook
  • movie-recommendation-system

    A movie recommendation system using content-based recommendation system.

    Language:Jupyter Notebook
  • Movie-Recommendation-System

    A simple movie recommendation system built with python

    Language:Python
  • Movie-Recommendation-System

    This project is a basic movie recommendation system using machine learning technique. It recommends movies similar to the movie user likes. It analyzes the data, and get recommendations.

    Language:Jupyter Notebook
  • Movie-Recommendation-System

    Content based Movie Recommendation System

    Language:Python
  • FilmRecommender

    An end-2-end project

    Language:Jupyter Notebook
  • TMDB_5000_Movie_recommendation_system

    TMDB_5000_Movie_recommendation_system is a repository for a hybrid movie recommendation system. Discover personalized movie recommendations based on user preferences and movie features using the TMDB 5000 Movies dataset.

    Language:Jupyter Notebook
  • Movie-Recommendation-with-Posters

    A content-based recommender system that recommends movies similar to the movie the user likes.

    Language:Jupyter Notebook
  • Movie_Recommendation_system

    A movie recommendation system is a type of software that suggests movies to users based on their preferences, browsing history, and other factors.

    Language:Python