https://github.com/winston-dsouza/movie-recommender-system

Machine Learning for movie suggestion
https://github.com/winston-dsouza/movie-recommender-system

genre kmeans-clustering machine-learning matplotlib movie-recommendation numpy pandas python python3 random-forest ratings recommender-system scikit-learn

Last synced: about 1 month ago
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Machine Learning for movie suggestion

• Host: GitHub
• URL: https://github.com/winston-dsouza/movie-recommender-system
• Owner: winston-dsouza
• License: mit
• Created: 2019-07-27T09:15:59.000Z (about 6 years ago)
• Default Branch: master
• Last Pushed: 2020-05-11T16:37:35.000Z (over 5 years ago)
• Last Synced: 2025-06-23T20:06:14.737Z (4 months ago)
• Topics: genre, kmeans-clustering, machine-learning, matplotlib, movie-recommendation, numpy, pandas, python, python3, random-forest, ratings, recommender-system, scikit-learn
• Language: Jupyter Notebook
• Homepage:
• Size: 194 KB
• Stars: 2
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Movie-Recommender-System

A recommendation system is a type of information filtering system which takes movie genre as input and displays top 5 movies in the specified category.

## Dataset:

The data set used for this notebook is from Kaggle.This contains ratings of a 1000 movies. This data set includes:

- Movie title

- Genre

- Votes

- Rating

link:https://www.kaggle.com/nielspace/imdb-data

## Required Tools:

- Numpy

- Pandas

- Scikit learn 

- Matplotlib

- python 3.6