Machine Learning on AWS SageMaker for Beginners
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Price: 19.99$
This course is designed for the students who are at their initial stage or at the beginner level in learning the Machine Learning concepts integrated with cloud computing using the Amazon AWS Cloud Services. This course focuses on what cloud computing is, followed by some essential concepts of Machine Learning. It also has practical hands-on lab exercises which covers a major portion of setting up the basic requirements to run projects on Sage Maker This course covers five (5) projects of different machine learning algorithms to help students learn about the concepts of ML and how they can run such projects in the AWS Sage Maker environment. Below is list of projects that are covered in this course:1- Titanic Survival Prediction2- Boston House Price Prediction3- Population Segmentation using Principal Component Analysis (PCA)4- Population Segmentation using KMeans Clustering5- Handwritten Digit Classification (MNIST Dataset)Today Data Science and Machine Learning is used in almost all the industries, including automobile, banking, healthcare, media, telecom and others. Amazon Sage Maker helps data scientists and developers to prepare, build, train, and deploy high-quality machine learning (ML) models quickly by bringing together a broad set of capabilities purpose-built for ML. Amazon Sage Maker is a fully managed service that provides every developer and data scientist with the ability to prepare build, train, and deploy machine learning (ML) models quickly. Sage Maker removes the heavy lifting from each step of the machine learning process to make it easier to develop high quality models. Sage Maker provides all of the components used for machine learning in a single toolset so models get to production faster with much less effort and at lower cost. Look forward to see you enroll in this class to learn Machine Learning in AWS Sage Maker platform. Best of luck!