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Machine Learning and Data Science with AWS

Machine Learning and Data Science with AWS

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Instructors: Pranjal Srivastava, Harshit Srivastava
6 sections • 27 lectures • 2h 12m total length
Video: MP4 1280x720 44 KHz | English + Sub
Updated 9/2022 | Size: 828 MB

Learn various cloud services on AWS- Glue, Athena, Quicksight and Comprehend

What you'll learn
You could prepare your dataset using AWS Glue, and Quicksight
Perform Data Analysis using Athena
Could Create Data Visualization Charts with Quicksight
You could create and develop machine learning models using Natural Language Processing

Requirements
Before taking this course, if you are already familiar with Data Science and Machine Learning at basic level, it would be useful.

Description
Welcome to this course on Machine Learning and Data Science with AWS. Amazon Web services or AWS is one of the biggest cloud computing platform where everything gets deployed to scale and action. Understanding the concepts and methods are vital, but being able to develop and deploy those concepts in forms of real life applications is something that is most weighted by the industry. Thus, here in this course, we are focused on ways you can use various cloud services on AWS to actually build and deploy you ideas into actions on multiple domains on Machine Learning and Data Science. You could be an IT;professional looking for job change or upgrading your skillset or you could be a passionate learner or cloud certification aspirant, this course is for wider audience that if formed by the people who would like to learn any of these or a combination of these things-
Create and Analyze dataset to find insights and spot outliers or trends
Build Data visualization reports and dashboards by combining various visualization charts to represent data insights
Develop machine learning models for Natural Language Processing for various applications on AWS
And much more.

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Machine Learning and Data Science with AWS

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