Netflix + IMDB Embedding + EDA Dashboard + Recommendation System

This Project Includes the Complete End to End Data Analysis - Data Visualization - Recommendation System Whichever Move or Show your Want.
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Table of Contents

1. About The Project
   • Built With
2. Getting Started
   • Prerequisites
   • Installation
3. License

About The Project

This Project Helps me to Learn more about Database Merging, Data Analysis for Different Filters or Insights, Data Visualizations using Plotly, Recommendation Engine to Recommend TV Shows and Movies, After that Data Visualization Dashboard using Plotly and Dash and Deployed on Heroku. (Click on View Demo to See the Live App)

Shows How Data is Distributed in Netflix Dataset - Movies and TV Shows

Filter Out Movies or TV Shows based on Continent on which you Live and Age Group from You Belong.

Filter Out Movies and TV Shows according to the Genre and Gender Group

Recommendation Engine to Recommend you Movies and TV Shows Building using Simple tfidfvectorizer and Similiariy Checking Between Description of Movies and Shows.

Working of Recommendation System.

Built With

I Build this Project using following technologies and Platforms -

• Python
• Pandas
• Numpy
• Machine Learning - tfidfvectorizer - Sklearn
• Plotly
• DASH
• Google Colab Notebooks
• Deployement - Heroku

Getting Started

Here are the Instructions to start the Project in Localhost.

Prerequisites

Install all the Libraries needed for the Project.

• Requirements

  pip install -r requirements.txt

Run the App

python main.py

License

Distributed under the MIT License. See LICENSE for more information.

Contact

Simranjeet Singh - Twitter - [email protected]

Project Link: Complete_Netflix+IMDB_Project

Dataset - Dataset

Youtube Video for the Project - Youtube

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