No-Code Machine Learning Using Amazon AWS SageMaker Canvas

Description

This AWS SageMaker Canvas course will help you become a machine learning expert and will enhance your skills by offering you comprehensive knowledge and the required hands-on experience on this newly launched cloud-based ML tool, by solving real-time industry-based projects, without needing any complex coding expertise.

AWS is the #1 cloud-based tool used industry-wide for machine learning projects. You do not need advanced coding expertise that is generally required in the field of machine learning. Nowadays, machine learning models that usually take many days to build are available very quickly in just a few minutes with the help of SageMaker Canvas. SageMaker Canvas has a small learning curve and you can pick up even advanced concepts very quickly. It is also available as part of AWS Free Tier. This course is created with students from various backgrounds in mind. Therefore, we start with the fundamentals and work our way up to more advanced topics. In addition, we will work on four projects in the course itself, from beginning to end. By providing you with in-depth knowledge and the necessary hands-on experience on this newly introduced cloud-based ML tool, this course will help you become a machine learning expert and enhance your skills. You won't need any advanced coding knowledge to complete projects that are based on real-world industry problems. Guidance is offered beyond the tool-you will not only learn the software but also important machine learning principles. By the end of this course, you will be able to build your own machine learning model and get accurate predictions without writing any code using AWS SageMaker Canvas. All the resources and datasets for this course are available at: https://github.com/PacktPublishing/No-Code-Machine-Learning-Using-Amazon-AWS-SageMaker-Canvas

Learn the basics of machine learning
Get introduced to AWS SageMaker
Use the Banknote Authentication dataset to predict data
Use the SMS Spam Collection dataset to predict data
Use the Customer Churn Prediction 2020 dataset to predict data
Use the Wine Quality dataset to predict data

This course is designed for students who want to enter the machine learning domain but don't have coding expertise, or anybody in general who wants to know what machine learning is and how to use it professionally. You won't need any high-configuration computer to learn this tool. All you need is any system with internet connectivity and a basic understanding of machine learning.

This course is designed keeping in mind students from all backgrounds. Hence, we cover everything from the basics and gradually progress toward advanced topics. We will also take live industry projects and take every step from start to end in the course.

Machine learning on Amazon's AWS SageMaker Canvas without writing any code * Learn how to train and test the ML models and get accurate predictions * Work on four live projects with a sample dataset

https://github.com/PacktPublishing/No-Code-Machine-Learning-Using-Amazon-AWS-SageMaker-Canvas

Prince Patni is a software developer who specializes in business intelligence and data science. He has studied engineering, worked in four multinational corporations, and has been all over the world for business. He is currently working as an analyst/developer in a reputable organization. He enjoys both teaching and learning. He is here to offer his knowledge of data analytics, data visualization, business intelligence, data science, and other aspects of software development.

1. Introduction to Machine Learning

2. Introduction to AWS

3. Introduction to SageMaker

4. Setup

5. SageMaker Canvas Interface Walkthrough

6. Project 1 - Banknote Authentication

7. Project 2 - Spam SMS Detection

8. Project 3 - Customer Churn Prediction

9. Project 4 - Wine Quality Prediction

10. Assignment

11. Other Important Features in SageMaker Canvas

12. Congratulations and Next Steps