
A simple example of python api for real time machine learning, using scikit-learn, Flask and Docker
The python-flask-docker-sklearn-template is a simple example of a Python API for real-time machine learning. It demonstrates the use of Flask, Docker, and the scikit-learn library to create a linear regression model that can be used to make predictions.
The python-flask-docker-sklearn-template is a deprecated repository that provides a simple example of a Python API for real-time machine learning. It demonstrates the use of Flask, Docker, and scikit-learn to create and deploy a linear regression model. The installation guide outlines both Docker and local development setup, including code snippets for running the application and making sample API requests.

Flask is a lightweight and popular web framework for Python, known for its simplicity and flexibility. It is widely used to build web applications, providing a minimalistic approach to web development with features like routing, templates, and support for extensions.
A website that uses Docker for containerization to streamline development, testing, and deployment workflows. This includes features such as containerization of dependencies, automated builds and deployments, and container orchestration to ensure scalability and availability.