https://github.com/simranjeet97/netflix-analysis-top-rated-_visualization_plotly
Netflix Data Analysis based on Age Based Ratings and Top Genres of 2021 of Movies - TV Shows along side Data Visualization
https://github.com/simranjeet97/netflix-analysis-top-rated-_visualization_plotly
data-analysis data-science data-visualization database datascience datastructures deep-learning google google-cloud-platform machine-learning machine-learning-algorithms netflix netflix-dataanlysis netflix-dataset netflix-prize python3
Last synced: 3 months ago
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Netflix Data Analysis based on Age Based Ratings and Top Genres of 2021 of Movies - TV Shows along side Data Visualization
- Host: GitHub
- URL: https://github.com/simranjeet97/netflix-analysis-top-rated-_visualization_plotly
- Owner: simranjeet97
- License: mit
- Created: 2021-03-06T19:55:25.000Z (about 4 years ago)
- Default Branch: main
- Last Pushed: 2021-09-06T19:57:53.000Z (over 3 years ago)
- Last Synced: 2025-01-14T03:43:37.504Z (5 months ago)
- Topics: data-analysis, data-science, data-visualization, database, datascience, datastructures, deep-learning, google, google-cloud-platform, machine-learning, machine-learning-algorithms, netflix, netflix-dataanlysis, netflix-dataset, netflix-prize, python3
- Language: Jupyter Notebook
- Homepage:
- Size: 9.27 MB
- Stars: 0
- Watchers: 2
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
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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
## 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
[![Product1][product-screenshot1]](https://github.com/simranjeet97/Netflix-Analysis-Top-Rated-_Visualization_Plotly)
Filter Out Movies or TV Shows based on Continent on which you Live and Age Group from You Belong.
[![Product2][product-screenshot2]](https://github.com/simranjeet97/Netflix-Analysis-Top-Rated-_Visualization_Plotly)
Filter Out Movies and TV Shows according to the Genre and Gender Group
[![Product3][product-screenshot3]](https://github.com/simranjeet97/Netflix-Analysis-Top-Rated-_Visualization_Plotly)
Recommendation Engine to Recommend you Movies and TV Shows Building using Simple tfidfvectorizer and Similiariy Checking Between Description of Movies and Shows.
[![Product4][product-screenshot4]](https://github.com/simranjeet97/Netflix-Analysis-Top-Rated-_Visualization_Plotly)
Working of Recommendation System.
[![Product5][product-screenshot5]](https://github.com/simranjeet97/Netflix-Analysis-Top-Rated-_Visualization_Plotly)
### Built With
I Build this Project using following technologies and Platforms -
* [Python](https://www.python.org/)
* [Pandas](https://pandas.pydata.org/)
* [Numpy](https://numpy.org/)
* [Machine Learning - tfidfvectorizer - Sklearn](https://scikit-learn.org/stable/)
* [Plotly](https://plotly.com/)
* [DASH](https://dash.plotly.com/introduction)
* [Google Colab Notebooks](https://colab.research.google.com/)
* [Deployement - Heroku](https://www.heroku.com/)
## Getting Started
Here are the Instructions to start the Project in Localhost.
### Prerequisites
Install all the Libraries needed for the Project.
* Requirements
```sh
pip install -r requirements.txt
```
### Run the App
```python
python main.py
```
## License
Distributed under the MIT License. See `LICENSE` for more information.
## Contact
Simranjeet Singh - [Twitter](https://twitter.com/Itsexceptional1) - [email protected]
Project Link: [Complete_Netflix+IMDB_Project](https://github.com/simranjeet97/Netflix-Analysis-Top-Rated-_Visualization_Plotly)
Dataset - [Dataset](http://bit.ly/3eiqieH)
Youtube Video for the Project - [Youtube](https://www.youtube.com/watch?v=x-FBs4RrAYo)
[contributors-shield]: https://img.shields.io/github/contributors/othneildrew/Best-README-Template.svg?style=for-the-badge
[contributors-url]: hhttps://github.com/simranjeet97/Netflix-Analysis-Top-Rated-_Visualization_Plotly/graphs/contributors
[forks-shield]: https://img.shields.io/github/forks/othneildrew/Best-README-Template.svg?style=for-the-badge
[forks-url]: hhttps://github.com/simranjeet97/Netflix-Analysis-Top-Rated-_Visualization_Plotly/network/members
[stars-shield]: https://img.shields.io/github/stars/othneildrew/Best-README-Template.svg?style=for-the-badge
[stars-url]: https://github.com/simranjeet97/Netflix-Analysis-Top-Rated-_Visualization_Plotly/stargazers
[issues-shield]: https://img.shields.io/github/issues/othneildrew/Best-README-Template.svg?style=for-the-badge
[issues-url]: https://github.com/simranjeet97/Netflix-Analysis-Top-Rated-_Visualization_Plotly/issues
[license-shield]: https://img.shields.io/github/license/othneildrew/Best-README-Template.svg?style=for-the-badge
[license-url]: https://github.com/simranjeet97/Netflix-Analysis-Top-Rated-_Visualization_Plotly/blob/main/LICENSE
[linkedin-shield]: https://img.shields.io/badge/-LinkedIn-black.svg?style=for-the-badge&logo=linkedin&colorB=555
[linkedin-url]: https://www.linkedin.com/in/simranjeet97
[product-screenshot1]: images/one.png
[product-screenshot2]: images/two.png
[product-screenshot3]: images/three.png
[product-screenshot4]: images/four.png
[product-screenshot5]: images/five.png
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