Developing a Web Application for a Machine Learning Model
This put up describes rising a web utility for a machine finding out model and deploying it so that it could be accessed by anyone. The web utility is accessible at:
https://arrear-model.herokuapp.com/
The technique of deployment consists of transferring all flask utility info from a native laptop computer to the online server. Once achieved the online utility could be visited by anyone by a public URL. The cloud platform used is Heroku as a results of it helps Python web functions constructed with quite a few programming languages along with functions constructed with Python flask. Heroku makes points less complicated by coping with administrative duties by itself so one may give consideration to the programming half. Another good issue is that web functions is hosted for free. As the guests will improve, one would possibly want to be part of for one in every of many increased plans so that the online utility performs successfully in extreme guests.
The steps involved are as follows:
Creating a straightforward model that could be deployed to the online, the place clients can enter variables to get predictions
For this put up, the model is a straightforward linear regression model based totally on the paper “Assessment of Irish Mortgage Arrears at County Level using Machine Learning Techniques and Open Data”. The code and the paper may be discovered for receive proper right here. The model is …