AWS Sagemaker - Hands on Training
Master AWS Sagemaker by Building Real World Projects
Updated on Apr, 2024
Language - English
Development,Data Science and AI ML,Artificial Intelligence
Lectures -119
Resources -1
Duration -6.5 hours
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Course Description
Master AWS Sagemaker by Building Real World Projects
A well groomed knowledge of the complete AWS Machine Learning ecosystem is required and SageMaker is one of the Most Important component of it.
This course includes real World Projects which enables you to learn and Solidify your concept on Sagemaker.
In this Course, you will learn:-
General Overview of SageMaker
Breast Cancer Classification Using XgBoost
Predicting House Price using Linear Regression
Using KNN for MNIST SIGN Language
Object Detection
Dimension Reductionality using PCA
Recommender System using Factorization Machine
DeepAR for Time Series Forecasting
Blazing Text for Word2Vec
Hosting Custom Model on Credit Card Fraud Detection on Sagemaker
Other Built-in Algorithms
Hyper Parameter Tuning
AWS Lambda Basics
Integration and Deployment Options
We know that you're here because you value your time and Money.By getting this course, you can be assured that the course will explain everything in detail and if there are any doubts in the course, we will answer your doubts in less than 12 hours.
All the project Files are available for you.
So, What are you waiting for? Go Click on the Buy button and let's explore this exciting journey.
I will be waiting for you inside the course...
Cosmic
Goals
What will you learn in this course:
- Learn about Different Built-in Algorithm like XgBoost ,Deep AR , Linear Learner , Factorization Machines on SageMaker
- Learn To Deploy custom Machine Learnng Algorithms on SageMaker
- Learn to implement Real world Machine Learning Problem on SageMaker
- Learn to do Hyper Parameter Tuning on SageMaker
- Learn to Deploy Sagemaker Models using Lambda and API Gateway
Prerequisites
What are the prerequisites for this course?
- Basic of Machine Learning
- AWS Account
Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction
2 Lectures
-
Introduction
02:40
02:40
-
Course Files
General Overview of SageMaker
6 Lectures
Prerequisite of Sagemaker
3 Lectures
Basic of Implementing ML Model on Sagemaker
3 Lectures
CLASSIFICATION PROJECT : Breast Cancer Classification
13 Lectures
Predicting House Price using Linear Regression
9 Lectures
Using KNN in Sagemaker
6 Lectures
Object Detection
6 Lectures
Dimension Reductionality using PCA
7 Lectures
Blazing Text for Word2Vec
7 Lectures
Recommender System using Factorization Machine
5 Lectures
DeepAR for TimeSeries Forecasting
1 Lectures
Custom Model on Sagemaker - Fraud Detection
9 Lectures
Other Built-in Algorithms
8 Lectures
Hyper Parameter Tuning
4 Lectures
AWS Lambda Basics
4 Lectures
Integration and Deployment Options with DIABETES PREDICTION
13 Lectures
Other ML Services
11 Lectures
Conclusion
1 Lectures
Instructor Details
Akshay Deep Lamba
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