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Hybrid Machine learning Model

  • Clone the Repository
  • Create a new Directory as assests and download the model from the below link
  • Model Link

To Start the Front-End

  • Go to that Directory
  • Create a Virtual Enviroment Use this code to create and activate (Type in Terminal)
$ virtualenv env 
$ env\Scripts\activate

Then installl all its requirements

$ pip install -r requirements.txt

Once done you start start your Front-End Server

$ streamlit run app.py

Now you see your Server

🛠 Tech Stack

  • Python
  • scikit-learn
  • Machine learning Libraries
  • streamlit
  • Docker
  • Google Cloud Service

Deployment

Streamlit

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Trafffic prediction analysis using hybrid models - Machine Learning

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