Data is a fundamental element in any machine learning workload. Here, you will learn how to create and manage datastores and datasets in an Azure Machine Learning workspace, and how to use them in model training experiments.
To know more, read this blog at k21academy.com/dp10026 which will cover the Q/A’s from Day 3 of Design & Implement a Data Science Solution on Azure [DP-100] in which we have covered Module 4: Working with data , and Module 5: Working with compute .
This blog will help you to get started with Design & Implement a Data Science Solution on Azure [DP-100]We will discuss:
• Working with datastores
• Logistic Regression
• Working with datasets
• Performed Labs on Datasets and Datastores.
• and so on…If you are planning to become a Certified Azure Data Scientist then register for the FREE Class at https://k21academy.com/dp10002
Also, don’t forget to join us on our FREE Telegram group https://t.me/k21microsoftazure, and be the first to receive Microsoft Azure related news and updates.
Oracle ACE, Author, Speaker and Founder of K21 Technologies & K21 Academy : Specialising in Design, Implement, and Trainings.