Director of Business Intelligence , CouponFollow
Principal Software Engineer, Afiniti
Senior Data Platform Engineer, GoodRx
Head of Data Science, Slated
In this MLOps project, you will learn how to deploy a Resume Parser Streamlit Application on Paperspace Private Cloud.
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Overview
A public cloud service is offered to multiple users, whereas a private cloud service is not shared with any other organization. Google Cloud Platform(GCP), Amazon web services(AWS), and Microsoft Azure are some examples of Public cloud. Public clouds are very cost-effective but less secure. On the other hand, the Private cloud is dedicated to a particular organization and is highly secure.
Paperspace is one of the high-performance private clouds used for building, training, and deploying machine learning models. This project will deploy a streamlit application developed in Resume parsing with Machine learning - NLP with Python OCR and Spacy project on the private cloud Paperspace. You can also have a look at GCP deployment of the same model here.
Aim
To deploy a Streamlit Application for Resume Parsing on a private cloud Paperspace
Prerequisites
It is advisable to have a basic knowledge of the following services to understand the project.
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