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Deploying a simple model on revenue prediction depending on the weather temperature

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Temperature Revenue model deployment

Building a Machine learning model that predicts the Revenue generated by the ice cream company depending on the weather temperature

The model is trained using linear Regression using the dataset provided
The model is then dumped into a pickle file, so that it can be used later by the main file
The front end html file has also been included in the templates folder The model is then deployed on the Heroku platform for functioning

Given below is the link to the model
https://temperature-revenue.herokuapp.com/

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Deploying a simple model on revenue prediction depending on the weather temperature

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