Designing & deploying COVID-19 forecast app using Machine Learning techniques

#AzureHappyHours session link - https://bit.ly/July17_Live

The session takes COVID-19 forecast as a use case to explain the end to end Machine Learning techniques from importing of the dataset to deployment in the application.

The session will focus on:

Importing of dataset
Creating workspace and ML experiments
Creating the ML model
Scheduling ML pipelines and deployment

The pre-requisite for the session is the basics of python programming and machine learning.

Pre-requisite references:

Python programming: https://www.youtube.com/playlist?list=PLlrxD0HtieHhS8VzuMCfQD4uJ9yne1mE6
Machine Learning crash course: https://aka.ms/vs/mlcourse

What will you learn in this session - Building an end-to-end machine learning model for a forecast application scenario using advanced ML tools.

Speaker Bio:
Vivek Raja P S is a final year CS undergraduate student. He is Microsoft Certified Azure Data Scientist, AI Engineer, Data Engineer Associate. He is a 15x Hackathon winner. He is an active speaker and mentor in AI & Cloud domain. He has published 3 research papers in AI and IoT and has a patent under review.

Social Media Handles:
Linkedin: https://linkedin.com/in/vivek0712
Twitter: https://twitter.com/vivekraja007