Help me Deploy my Machine learning model as a API to Webserver using Flask
£10-15 GBP / hora
Help me and teach me how to deploy my machine learning model as a API to a webserver using Flask python web-framework.
I currently use Azure note books to build my ML model .
I have built a ML model, I know basic python.
I am having problems deploying the model to a web server. PLEASE HELP.
I want other people to be able to interact with the webServeR/website so they can input variable values and to be able to use the ML API.
Can you work with me via chat and screen sharing to complete this task.
I will use you for more work if this small project goes well.
Nº del proyecto: #26768255
Sobre el proyecto
15 freelancers están ofertando un promedio de £13 / hora por este trabajo
I can help you in model deployment.I have done various projects in machine learning. Waiting for your good response
I am excellent at the following : - Azure cloud - Flask framework - python - Linux or windows OS I think i am able to expose your applications to public through an API. Please check my portfolio, reviews and ratings Más
do kindly reach out to me over chat with the requirements and data to get started. Also, I understand your requirements and would deliver as promised
I have deployed machine learning models before using pytorch, flask, nginx and gunicorn before. I am confident I can do this for you. Let's have a chat maybe?
Hello, Sanket is here, I can complete the project as per your requirement. I have 4 years of experience in data science & python development. I can guide the complete machine learning deployment process using the Fla Más
Good experience with python, tensorflow, keras, OpenCV, flask, HTML, CSS, bootstrap,C and C++. Projects include: 1) Web Application for Client Segmentation Problem using ML Algorithms using python and flask. 2) Automa Más
Hello, Sir. I read your opinion seriously. I have experience of 7 years and done similar projects in done similar projects before. As a man of trust, I can develop your project with full perfection. Let me go on, y Más