A content-based recommender system that recommends movies similar to the movie the user likes and analyses the sentiments of the reviews given by the user

Basic Movie Recommendation Web Application using user-item collaborative filtering.

Data Science algorithms and topics that you must know. (Newly Designed) Recommender Systems, Decision Trees, K-Means, LDA, RFM-Segmentation, XGBoost in Python, R, and Scala.

Movie Recommender System with Django.

Movie Recommender based on the MovieLens Dataset (ml-100k) using item-item collaborative filtering.

A movie recommender that recommends movies using the K Nearest Neighbours algorithm from a list of ~5000 movies

I made a Movie recommendation Engine using Content Based Filtering, Collaborative filtering. In content Based Filtering I done Preprocessing of data, used Average-weighted-rating technique, Statistical Approach, Vectorization, Cosine Similarity. While in Collaborative I done some Preprocessing of data, Make Pivot table, Vectorization, Correlatio…

Movie Recommendation System based on machine learning concepts

Recommending movies to user using various Colaborative Filtering and Content Based Filtering.

A web-based movie recommender using unsupervised learning to suggest movies based on user input. Recommendations through scikit-learn NMF and CosineSimilarity.

Recommends top 10 movies for you

Implementation of movie recommendation systems using Apache Spark ML alternating least squares (ALS)

User based collaborative filtering and content based filtering algorithms have been used to recommend movies similar to the input provided by the user.

In this project, I do some analysis, visualizations, and then create movie recommender system on imdb data. I do that because I want to know more about movies, especially Hollywood movies. Therefore, I do analysis and visualization on imdb data which is contain informations about movies, e.g. who is produced, when the movies release, rating movi…

This is a simple Movie Recommender build by scrapping the web and tkinter module of python3.

Training machine learning models to recommend movies.

Movie recommender System Built using vuejs, Django, and The Machine Learning Algorithm used to implement recommender system is Cosine similarity.

movie recommender

Natural Language Processing project

This is a Simple Movie Recommender developed and hosted at codesandbox.