Udemy - [2021] AWS Certified Machine Learning Specialty - MasterClass

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  • Udemy - [2021] AWS Certified Machine Learning Specialty - MasterClass
    Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 48.0 KHz
    Language: English | VTT | Size: 4.4 GB | Duration: 11h 34m
    Crack the exam by Learning AWS SageMaker, feature engineering, model training, Evaluation and tuning.



Udemy - [2021] AWS Certified Machine Learning Specialty - MasterClass
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 48.0 KHz
Language: English | VTT | Size: 4.4 GB | Duration: 11h 34m
Crack the exam by Learning AWS SageMaker, feature engineering, model training, Evaluation and tuning.


What you'll learn
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
Learn about AWS Database and Storage
Learn about Kinesis , S3 , Feature engineering etc
Learn about Different ML Services
Description
[2020] AWS Certified Machine Learning Specialty - MasterClass
Crack the exam by Learning AWS SageMaker, feature engineering, model training, Evaluation and tuning.
A well groomed knowledge of the complete AWS Machine Learning ecosystem is required...to crack the exam.
This course is Dedicated to give to the detailed knowledge required for AWS Certified Machine Learning - Specialty exam. This course will cover everything you need to learn in order to crack the exam. It not only has Theoretical concepts but also hands on Labs which will help you to build the Concept.
AWS is one of the most widely used ML cloud computing platforms worldwide - several Fortune companies depend on AWS for their business operations.
SageMaker is a fully managed service within AWS that allows data scientists and AI practitioners to train, test, and deploy AI/ML models quickly and efficiently.
In this Course, you will learn:-
Amazon S3
Amazon Kinesis
Basics of Deep Learning
EDA, Visualization, Feature Engineering
General Overview of SageMaker
Basic of Implementing ML Model on 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
Different ML Service
AWS Lambda Basics
Integration and Deployment Options
AWS Storage and Database
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...
Who this course is for:
Anyone looking to upgrade their skill and get a AWS Machine Learning Certification
Data Scientist seeking certification in machine learning and AWS.

Homepage
https://www.udemy.com/course/aws-certified-machine-learning-specialty-masterclass/


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