No-Code Machine Learning Using Amazon AWS SageMaker Canvas

Name: No-Code Machine Learning Using Amazon AWS SageMaker Canvas
Rating: 4.4 (470 reviews)

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

Created byPrince Patni

Last updated 12/2021

English

English [Auto],

What you'll 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

Course content

12 sections • 26 lectures • 1h 20m total length

What is Machine Learning?3:32
Explore how machine learning uses algorithms to identify patterns in data and predict outcomes, a subset of artificial intelligence, highlighted by SageMaker Canvas.

Adding Training Data3:26
Link to Original Dataset : https://archive.ics.uci.edu/ml/datasets/banknote+authentication
Building and Using Model for Prediction8:18
Predict Single & Batch Dataset7:00
Perform single and batch predictions in no-code machine learning with Amazon SageMaker Canvas. The banknote authentication dataset reaches up to 98 percent accuracy with 70/30 splits and downloadable predictions.
Validating Accuracy of Batch Predictions2:24
Validate batch predictions by comparing predicted and actual data in no-code machine learning with SageMaker Canvas. Achieve high accuracy by building models from training and test data and tuning columns.

Adding Train & Test Data1:20
Link to Original Dataset : https://www.kaggle.com/uciml/sms-spam-collection-dataset
Building and Using Model for Prediction2:48
Build a no-code spam detection model in Amazon SageMaker Canvas by selecting data and a target column, achieving about 95.4% accuracy to predict test data.
Predicting Data and Validating Accuracy1:38
Use no-code machine learning with AWS SageMaker Canvas to predict data from a test dataset, validate accuracy, and view batch or single predictions for spam and legitimate messages.

Adding Data1:40
Link to Original Data : https://www.kaggle.com/c/customer-churn-prediction-2020/data?select=train.csv
Building Model2:59
Leverage no-code machine learning with Amazon AWS SageMaker Canvas to select the target column, preview models, and achieve about 95% accuracy predicting whether a customer will leave the telco.
Performing & Validating Predictions3:44
Learn to perform and validate predictions with no-code machine learning in AWS SageMaker Canvas, achieving around 95.8% accuracy on a customer churn dataset through single and batch predictions.

Requirements

Basic Awareness of Machine Learning
No Coding Expertise needed.
No Advanced Machine Learning knowledge required
No heavy Software required

Description

This AWS SageMaker 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 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.

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

No-Code Machine Learning Using Amazon AWS SageMaker Canvas

What you'll learn

Explore related topics

Course content

Introduction to Machine Learning1 lecture • 4min

Introduction to AWS2 lectures • 3min

Introduction to SageMaker2 lectures • 6min

Setup2 lectures • 7min

SageMaker Canvas Interface Walkthrough1 lecture • 2min

Project 1 : Banknote Authentication4 lectures • 21min

Project 2 : Spam SMS Detection3 lectures • 6min

Project 3 : Customer Churn Prediction3 lectures • 8min

Project 4 : Wine Quality Prediction3 lectures • 9min

Assignment1 lecture • 2min

Requirements

Description

Who this course is for: