From the course: Data Science Methodologies: Making Business Sense

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Deploy the model

Deploy the model

From the course: Data Science Methodologies: Making Business Sense

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Deploy the model

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- [Instructor] Let us begin the setup of our development environment. We will start with creating our model, which will be deployed on flask server running at port 5,000 with the URL as /api. First, we need to keep our code in a source code repo for which we need a git account. I already have my repo created on GitHub it is named as dsm-bank-model followed by the course number. It is currently empty, I will clone it on my dev-machine, by copying the URL, going to the command prompt, where you can see that I have created a folder bank project that already has bank data in it. So here I'll say, git clone. And then if I check the folder, I can see my local repo created. I can change to that folder and then start my IDE by saying code. I'm using Visual Studio code. Here, I will get a terminal open up by using Ctrl + Backtick. To deploy the model in development environment we need three things apart from Python, a…

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