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California_House_Prediction

This is a Dockerized Version of the Machine Learning Application to calculate the pricing of the California Housing with a Front End GUI, the model's backend is performed by Flask.

Installation

Download the Docker and make sure all the requirements are satisfied.

Running on Docker

After the docker is installed, open a CLI use the below commands.

docker build -t <App_Name>:<Version> .

The above command should be executed once the docker starts to run, it creates a docker images with the title (-t) specified. This might take a couple of minutes since the machine needs to download the python from the docker hub and install all the dependencies.

After creating the images,

docker run -d -p 5000:5000 <App_Name>:<Version>

Once done go to the localhost to see the Machine Learning Model containarized.

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