3 Forks
75 Stars
75 Watchers

Machine-Learning-Model-Deployment

This is a machine learning model deployment project of Iris classification model in a minimal UI using flask web framework and deployed it in Azure cloud using Azure app service. We initially made this project as a requirement for an internship at Indian Servers. We are now making it open to contribution.

How to download and setup Machine-Learning-Model-Deployment

Open terminal and run command
git clone https://github.com/kittupriyatham/Machine-Learning-Model-Deployment.git
git clone is used to create a copy or clone of Machine-Learning-Model-Deployment repositories. You pass git clone a repository URL.
it supports a few different network protocols and corresponding URL formats.

Also you may download zip file with Machine-Learning-Model-Deployment https://github.com/kittupriyatham/Machine-Learning-Model-Deployment/archive/master.zip

Or simply clone Machine-Learning-Model-Deployment with SSH
[email protected]:kittupriyatham/Machine-Learning-Model-Deployment.git

If you have some problems with Machine-Learning-Model-Deployment

You may open issue on Machine-Learning-Model-Deployment support forum (system) here: https://github.com/kittupriyatham/Machine-Learning-Model-Deployment/issues

Similar to Machine-Learning-Model-Deployment repositories

Here you may see Machine-Learning-Model-Deployment alternatives and analogs

 flask    CTFd    flask_jsondash    gdbgui    uwsgi-nginx-flask-docker    trape    PredictionAPI    Deep-Learning-in-Production    Zappa    quokka    eve    flasgger    flask_reddit    formspree    grip    flask-base    flask-oauthlib    authlib    flask-ask    pyt    ShadowSocksShare    heroku-buildpack-python    awesome-flask    dash    flasky    proxy_pool    blockchain    toapi    Flask-SocketIO    cookiecutter-flask