This Project Includes the Complete End to End Data Analysis - Data Visualization - Recommendation System Whichever Move or Show your Want.
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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.
I Build this Project using following technologies and Platforms -
- Python
- Pandas
- Numpy
- Machine Learning - tfidfvectorizer - Sklearn
- Plotly
- DASH
- Google Colab Notebooks
- Deployement - Heroku
Here are the Instructions to start the Project in Localhost.
Install all the Libraries needed for the Project.
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Requirements
pip install -r requirements.txt
python main.pyDistributed under the MIT License. See LICENSE for more information.
Simranjeet Singh - Twitter - simranjeetsingh1497@gmail.com
Project Link: Complete_Netflix+IMDB_Project
Dataset - Dataset
Youtube Video for the Project - Youtube
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