Home > Interesting > How To Build a Prediction API in 10 Minutes with Flask, Swagger, and SciPy

How To Build a Prediction API in 10 Minutes with Flask, Swagger, and SciPy

iamalivingcontradiction

I’ve seen a lot of hype around Prediction APIs, recently. This is obviously a byproduct of the current data science fad.

As a public service, I’m going to show you how you can build your own prediction API … and I’ll do it by creating a very basic version in 10 minutes.

We will build an API that will determine if we should provide credit to someone based on certain demographic information.

We will use Kaggle’s “Give Me Some Credit” dataset as the basis for this example.

Go to the “Give Me Some Credit” page, and download the files.

You will have 4 files:

  • cs-training.csv
  • cs-test.csv
  • sampleEntry.csv
  • DataDictionary.xls

We will only need the cs-training.csv and DataDictionary.xls files for this project.

Create application folder

Use the following commands to create a directory and move into it.

In the directory create a file called create_credit_classifier.py. We will use incrementally…

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