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    [2021]AWS Certified Machine Learning Specialty - MasterClass

    Posted By: ELK1nG
    [2021]AWS Certified Machine Learning Specialty - MasterClass

    [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.