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No-Code Machine Learning Using Amazon AWS Sage Maker Canvas

person icon Prince Patni

4.5

No-Code Machine Learning Using Amazon AWS Sage Maker Canvas

Build your Machine Learning Model and get accurate predictions without writing any Code using AWS SageMaker Canvas

updated on icon Updated on Apr, 2024

language icon Language - English

person icon Prince Patni

category icon Amazon AWS,Databases Other,Development

Lectures -27

Resources -1

Duration -1 hours

4.5

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Course Description

This AWS Sage Maker Canvas Course 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 Sage Maker 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.
  • Sage Maker 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 Sage Maker Canvas course.

Who this course is for:

  • 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

Goals

What will you learn in this course:

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

Prerequisites

What are the prerequisites for this course?

  • Basic Awareness of Machine Learning
  • No Coding Expertise needed.
  • No Advanced Machine Learning knowledge required
  • No heavy Software required
No-Code Machine Learning Using Amazon AWS Sage Maker Canvas

Curriculum

Check out the detailed breakdown of what’s inside the course

Introduction to Machine Learning
2 Lectures
  • play icon Welcome 04:39 04:39
  • play icon What is Machine Learning? 03:32 03:32
Introduction to AWS
2 Lectures
Tutorialspoint
Introduction to Sage Maker
2 Lectures
Tutorialspoint
Setup
2 Lectures
Tutorialspoint
Sage Maker Canvas Interface Walkthrough
1 Lectures
Tutorialspoint
Project 1 : Banknote Authentication
4 Lectures
Tutorialspoint
Project 2 : Spam SMS Detection
3 Lectures
Tutorialspoint
Project 3 : Customer Churn Prediction
3 Lectures
Tutorialspoint
Project 4 : Wine Quality Prediction
3 Lectures
Tutorialspoint
Assignment
1 Lectures
Tutorialspoint
Other Important Features in Sage Maker Canvas
1 Lectures
Tutorialspoint
Congratulations & Next Steps
3 Lectures
Tutorialspoint

Instructor Details

Prince Patni

Prince Patni

BI, Data Science, Data Visualization
Studied Engineering, worked in 3 MNCs by far, and traveled across the Globe for work. Currently in the role of Analytics Developer in a reputed Organization. Loves teaching, loves learning. Here to share Data Analytics, Data Visualization, Business Intelligence, Data Science and other Software Development tips. Motto of life : Sky above me. Earth below me. Fire within me.

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