No-Code Machine Learning Using Amazon AWS SageMaker Canvas

No-Code Machine Learning Using Amazon AWS SageMaker Canvas, available at $39.99, has an average rating of 4.44, with 26 lectures, based on 390 reviews, and has 59609 subscribers.

You will learn about Machine Learning on Amazon's AWS Sagemaker Canvas without writing any Code 4 Live Projects with Sample Dataset Training and Testing ML Models, Improving Accuracy Basics of Machine Learning This course is ideal for individuals who are Machine Learning Enthusiasts or Data Science Professionals or Students who want to enter ML domain but don't have Coding expertise or Anybody in General who want to know what is Machine Learning and apply it practically It is particularly useful for Machine Learning Enthusiasts or Data Science Professionals or Students who want to enter ML domain but don't have Coding expertise or Anybody in General who want to know what is Machine Learning and apply it practically.

Enroll now: No-Code Machine Learning Using Amazon AWS SageMaker Canvas

Summary

Title: No-Code Machine Learning Using Amazon AWS SageMaker Canvas

Price: $39.99

Average Rating: 4.44

Number of Lectures: 26

Number of Published Lectures: 26

Number of Curriculum Items: 26

Number of Published Curriculum Objects: 26

Original Price: ₹1,199

Quality Status: approved

Status: Live

What You Will Learn

Machine Learning on Amazon's AWS Sagemaker Canvas without writing any Code
4 Live Projects with Sample Dataset
Training and Testing ML Models, Improving Accuracy
Basics of Machine Learning

Who Should Attend

Machine Learning Enthusiasts
Data Science Professionals
Students who want to enter ML domain but don't have Coding expertise
Anybody in General who want to know what is Machine Learning and apply it practically

Target Audiences

Machine Learning Enthusiasts
Data Science Professionals
Students who want to enter ML domain but don't have Coding expertise
Anybody in General who want to know what is Machine Learning and apply it practically

This AWS SageMaker CanvasCourse will help you to 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.

Top Reasons why you should learn AWS SageMaker Canvas :

AWS is the #1 cloud based tool used industry wide for Machine Learning Projects.
You do not need Advanced Coding expertise generally required in the field of Machine Learning.
Complex knowledge of Statistics, Algorithms, Mathematics that is difficult to master is also not required.
Machine Learning Models that usually takes many days to build, are available very quickly in just a few minutes.
The demand for ML professionals is on the rise. This is one of the most sought-after profession currently in the lines of Data Science.
There are multiple opportunities across the Globe for everyone with Machine Learning skills.
SageMaker Canvas has a small learning curve and you can pick up even advanced concepts very quickly.
This Tool is available as a part of AWS Free Tier.
You do not need high configuration computer to learn this tool. All you need is any system with internet connectivity.

Top Reasons why you should choose this Course :

This course is designed keeping in mind the students from all backgrounds – hence we cover everything from basics, and gradually progress towards advanced topics.
We take live Industry Projects and do each and every step from start to end in the course itself.
This course can be completed in a Day !
All Doubts will be answered.

Most Importantly, Guidance is offered beyond the Tool – You will not only learn the Software, but important Machine Learning principles. Also, I will share the resources where to get the best possible help from, & also the sources to get public datasets to work on to get mastery in the ML domain.

A Verifiable Certificate of Completion is presented to all students who undertake this AWS SageMaker Canvas course.

Course Curriculum

Chapter 1: Introduction to Machine Learning

Lecture 1: What is Machine Learning?

Chapter 2: Introduction to AWS

Lecture 1: What is Amazon Web Services (AWS) ?

Lecture 2: Signing into AWS Console

Chapter 3: Introduction to SageMaker

Lecture 1: What is SageMaker and how it is used for Machine Learning?

Lecture 2: What is SageMaker Canvas?

Chapter 4: Setup

Lecture 1: SageMaker Domain and User Setup

Lecture 2: Setup Data in S3 Buckets for use in SageMaker

Chapter 5: SageMaker Canvas Interface Walkthrough

Lecture 1: Navigating in SageMaker Canvas

Chapter 6: Project 1 : Banknote Authentication

Lecture 1: Adding Training Data

Lecture 2: Building and Using Model for Prediction

Lecture 3: Predict Single & Batch Dataset

Lecture 4: Validating Accuracy of Batch Predictions

Chapter 7: Project 2 : Spam SMS Detection

Lecture 1: Adding Train & Test Data

Lecture 2: Building and Using Model for Prediction

Lecture 3: Predicting Data and Validating Accuracy

Chapter 8: Project 3 : Customer Churn Prediction

Lecture 1: Adding Data

Lecture 2: Building Model

Lecture 3: Performing & Validating Predictions

Chapter 9: Project 4 : Wine Quality Prediction

Lecture 1: Adding & Joining Datasets

Lecture 2: Building Model

Lecture 3: Predicting Test Data

Chapter 10: Assignment

Lecture 1: White Wine Quality Prediction

Chapter 11: Other Important Features in SageMaker Canvas

Lecture 1: Versioning

Chapter 12: Congratulations & Next Steps

Lecture 1: Getting Datasets for Practice

Lecture 2: Getting Help on SageMaker Canvas

Lecture 3: Congratulations & Thankyou

Instructors

Prince Patni
Software Developer (BI, Data Science)

Rating Distribution

1 stars: 6 votes
2 stars: 12 votes
3 stars: 65 votes
4 stars: 150 votes
5 stars: 157 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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