Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/akash1070/deploying-a-netflix-recommender-system-on-heroku-cloud

Building And Deploying A Netflix Recommender System On Heruko
https://github.com/akash1070/deploying-a-netflix-recommender-system-on-heroku-cloud

artificial-intelligence exploratory-data-analysis-eda heruko machine-learning netflix-recommendation-system python3

Last synced: about 2 months ago
JSON representation

Building And Deploying A Netflix Recommender System On Heruko

Host: GitHub
URL: https://github.com/akash1070/deploying-a-netflix-recommender-system-on-heroku-cloud
Owner: Akash1070
Created: 2022-09-16T05:58:03.000Z (over 2 years ago)
Default Branch: main
Last Pushed: 2022-09-19T15:41:19.000Z (over 2 years ago)
Last Synced: 2024-04-05T11:45:28.049Z (10 months ago)
Topics: artificial-intelligence, exploratory-data-analysis-eda, heruko, machine-learning, netflix-recommendation-system, python3
Language: HTML
Homepage:
Size: 3.51 MB
Stars: 5
Watchers: 2
Forks: 1
Open Issues: 0
Metadata Files:
- Readme: README.md

Awesome Lists containing this project

README

        
# **Building And Deploying A Netflix Recommender System On Heruko**

![Python 3.6](https://img.shields.io/badge/Python-3.6-brightgreen.svg)

![HTML 4.01](https://img.shields.io/badge/HTML-4.01-skyblue.svg)

![CSS3](https://img.shields.io/badge/CSS3-pink.svg)

![sklearn](https://img.shields.io/badge/Library-sklearn-orange.svg)

![Numpy](https://img.shields.io/badge/Library-Numpy-blue.svg)

![flask](https://img.shields.io/badge/Library-flask-white.svg)

![Pandas](https://img.shields.io/badge/Library-Pandas-red.svg)

Content Based Recommender System recommends movies similar to the movie user likes and analyses the sentiments on the reviews given by the user for that movie.

The details of the movies(title, genre, runtime, rating, poster, etc) are fetched using an API by TMDB, https://www.themoviedb.org/documentation/api, and using the IMDB id of the movie in the API.

used web scraping to get the reviews given by the user in the IMDB site using beautifulsoup4 and performed sentiment analysis on those reviews.

## Authors

- [@Akash Kumar Jha](https://github.com/Akash1070)

## Running Flask Api

To run tests, run the following command

```bash

  python app.py

```

## Running Heroku Tests

To run a Heroku deployment tests, click on the following link:

[Netflix Recommender System App](https://netflix-recommendation-system7.herokuapp.com/)

## Deployment

    1. Data Extraction

    2. Exploratory Data Analysis(EDA)

    3. Feature Engineering

    4. Model Building and Tuning

    5. Building Flask API

    6. Pushing code to Github

    7. Connecting to your Heroku account 

    8. Deploy App

## Installation

To install the libraries used in this project. Follow the 

below steps:

```bash

import numpy as np

import pandas as pd

from flask import Flask, render_template, request

from sklearn.feature_extraction.text import CountVectorizer

from sklearn.metrics.pairwise import cosine_similarity

import json

import bs4 as bs

import urllib.request

import pickle

import requests

```

## Demo

[Click HERE To View App](https://netflix-recommendation-system7.herokuapp.com/)

## Screenshot

![Click HERE To View](https://github.com/Akash1070/Deploying-a-Netflix-Recommender-System-on-Heroku-Cloud/blob/main/Preview.png)

## 🚀 About Me

Data Scientist Enthusiast | Petroleum Engineer Graduate | Solving Problems Using Data 

# Hi, I'm Akash! 👋

## 🔗 Links

[![github](https://img.shields.io/badge/github-000?style=for-the-badge&logo=ko-fi&logoColor=white)](https://github.com/Akash1070)

[![linkedin](https://img.shields.io/badge/linkedin-0A66C2?style=for-the-badge&logo=linkedin&logoColor=white)](https://www.linkedin.com/in/akashkumar107/)

## Tech stack

![Logo](https://businesstoys.in/assets/programs/full-stack-data-science-professional-program/tools.png)

## Other Common Github Profile Sections

👩‍💻 I’m interested in Petroleum Engineering

🧠 I’m currently learning Data Scientist | Data Analytics | Business Analytics

👯‍♀️ I’m looking to collaborate on Ideas & Data

## 🛠 Skills

1. Data Scientist

2. Data Analyst

3. Business Analyst

4. Machine Learning 

## Future Plans 

⚡️ Looking forward to help drive innovations into your company as a Data Scientist

⚡️ Looking forward to offer more than I take and leave the place better than i found