A website that gives movie ratings based on movie critics that align with your taste in movies.

Projects developed under the Big Data and Cloud Computing college chair during the 2019/2020 school year

Building Machine Learning algorithms from scratch.

A movie recommendation system that makes use of collaborative filtering and KNN algorithm.

A Movie Recommender System That Recommend Movies Based On User Latest Watched Movies and Provide a Quick Sentimental Analysis On Recommended Movies With Some Reviews and Useful Information Regarding Recommended Movies.

Repository for Challenge - 3 (Algorithms) project made during Microsoft Engage 2022 by Aaheli Paul

Content based Movie Recommendation System

This Movie Recommendation System takes a movie name as an input and recommends you some movies like the input movie based on similarity between them. It also shows you information about input movie and the details of cast who have acted in it.

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.

Movie Recommendation System Using Machine Learning Algorithms

The goals of this project is to build job search recommender system to help someone to find the the movie that they want.

Movie recommendation application. Some clustering models, autoencoder and association rules mining techniques implemented.

Content Based Movies Recommendation System Using Cosine Similarities

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.

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

A Movie Recomendation system build in python django

This repository contains code I wrote in the Business Intelligence course at Universidad Mayor. The folders tarea-1x contain a small data modelling and data visualization exercise leveraging Oracle Cloud databases, while tarea-2 contains a movie recommender system based around the Netflix Prize dataset.