Skip to content

How to deoploy your machine learning model by using Flask Framework

Notifications You must be signed in to change notification settings

tahslim/Model-Deployment-by-using-Flask

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

8 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Model-Deployment-by-using-Flask

How to deploy your machine learning model by using Flask Framework

Scripts files details

  • model.py - script file to develop and train our model
  • server.py - script file to handle POST requests and return the results
  • request.py - script file to send requests with the features to the server and receive the results.

Directories details

  • models - directory to store model created
  • templates - directory to render HTML files
  • data - directory to keep data for training the model

The model can predict your salary according to your years of experience.

About

How to deoploy your machine learning model by using Flask Framework

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 63.0%
  • HTML 37.0%