Understanding underlying trends and outliers in data is a necessary step to do proper data preparation and feature engineering for subsequent machine learning tasks.

In this course, Exploratory Data Analysis with AWS Machine Learning, you’ll learn how to analyze, visualize, preprocess and feature engineer datasets to make them ready for subsequent machine learning steps.

What you will learn in this beginner level AWS machine learning tutorial:
Author Name: Mohammed Osman
Author Description:
Mohammed Osman is a senior software engineer who started coding at the age of 13. Mohammed worked in various industries, including telecommunication, accounting, banking, health, and assurance. Mohammed’s core skillset is a .NET ecosystem with a strong focus on C#, Azure, and Data Science. Mohammed also enjoys the soft-side of software engineering and leads scrum teams. Mohammed runs a blog with the message “Making your code smart and your career smarter.” He shares tips and techniques to improv… more

Table of Contents

• Course Overview
  2mins
• Machine Learning with AWS
  23mins
• Data Analysis Using AWS
  35mins
• Data Visualization Using AWS
  24mins
• Data Preparation Using AWS
  50mins