Use Flask to serve machine learning models as RESTful APIs

Overview

This is the receipt for "How to productionize machine learning models using Flask as RESTful APIs" by Ahmed Djebali.

All included in the iPython notebook.

Open the terminal. If you're using anaconda just install Flask by typing $conda install flask or $pip install flask. Then run the notebook $jupyter notebook in terminal in the main directory. All the instructions are in there.
Two attached files. One is a step-by-step notebook, and the other is the Flask app that is going to serve the machine learning model to get predictions back.

Name		Name	Last commit message	Last commit date
Latest commit History 6 Commits
.ipynb_checkpoints		.ipynb_checkpoints
README.md		README.md
Serve a machine learning model using Flask .ipynb		Serve a machine learning model using Flask .ipynb
app.py		app.py
ml.png		ml.png
rfc.pkl		rfc.pkl