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Flask is a micro web framework written in Python. It is classified as a microframework because it does not require particular tools or libraries

Importing libraries

Python

Jupyter notebook (label: good first issue)

Jupyter interactive notebook

Pandas (label: good first issue) Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data. Frame objects, statistical functions, and much more.

numpy (label: good first issue)

pip install numpy It is the core library for scientific computing, which contains a powerful n-dimensional array object.

Scikit-learn is a machine learning library for Python.

pip install scikit-learn

1. Ensure that you are in the project home directory. Create the machine learning model by running below command

python model.py

This would create a serialized version of our model into a file model.pkl

2. Run app.py using below command to start Flask API

python app.py

If everything goes well, you should be able to see the predcited salary vaule on the HTML page!

3. You can also send direct POST requests to FLask API using Python's inbuilt request module Run the below command to send the request with some pre-popuated values

python request.py

In this project we learned to deploy simple flask deployment project