A machine learning model is trained on this data to accurately predict real estate prices. The user-friendly web interface allows users to input property details and obtain real-time price estimates.

A simple Flask application that can serve predictions machine learning model. Reads a pickled sklearn model into memory when the Flask app is started and returns predictions through the /predict ...

This research presents the HardnessTesterV app- a web application for predicting the Vicker hardness of Laser welded Metallic alloy using Flask API, HTML, and CSS to build the front end and back end.

The machine learning lifecycle governs many aspects of developing and deploying trained model APIs in the production environment. Model deployment, which differs from the creation of ML models in that ...

When a data scientist develops a machine learning model, the ultimate goal is to make it available in production. Deployment of machine learning models or putting models into production means making ...

Flask is a micro web framework written in Python. It can create a REST API that allows you to send data, and receive a prediction as a response. For the purpose of demonstration, I will train a simple ...