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https://github.com/spidy20/movie_recommender_app

It is a movie recommender web application which is developed using the Python.
https://github.com/spidy20/movie_recommender_app

movie-recommendation movie-recommendation-system movielens-dataset

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It is a movie recommender web application which is developed using the Python.

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# Movie Recommendation🍿 System

[![forthebadge made-with-python](http://ForTheBadge.com/images/badges/made-with-python.svg)](https://www.python.org/)
[![Python 3.6](https://img.shields.io/badge/python-3.6-blue.svg)](https://www.python.org/downloads/release/python-360/)

## [Watch Tutorial for this project](https://youtu.be/fPVXDur94dY)

## Source
- [IMDB Movie 5000 Dataset](https://www.kaggle.com/carolzhangdc/imdb-5000-movie-dataset)
- Inspired from this [original repository](https://github.com/ppai22/knn_movie_recommender).

## Features
- Simple responsive UI
- Movie Story
- Movie Posters
- Directors & Cast information
- Total ratings
- IMDB Ratings⭐

## Usage

- Clone my repository.
- Open CMD in working directory.
- Run following command.
```
pip install -r requirements.txt
```
- `App.py` is the main Python file of Streamlit Web-Application.
- To run app, write following command in CMD. or use any IDE.
```
streamlit run App.py
```
- `Movie_Data_Processing.ipynb` is the notebook of data processing.
- `Classifier.py` is the main file which is containing a KNN Algorithm.
- For more explanation of this project see the tutorial on Machine Learning Hub YouTube channel.

## Screenshots

### Movie based Recommendation

### Genre based Recommendation

## Just follow☝️ me and Star⭐ my repository

# [Buy me a Coffee☕](https://www.buymeacoffee.com/spidy20)
## [Donate me on PayPal(It will inspire me to do more projects)](https://www.paypal.me/spidy1820)