Dive into a comprehensive tutorial series on AWS SageMaker for machine learning and deep learning. Learn to build, train, and deploy ML models using SageMaker, covering essential steps from creating notebook instances and S3 buckets to training XGBoost algorithms and deploying models. Master the process of uploading files, training models, and predicting test data using endpoints in this hands-on guide to leveraging AWS SageMaker for your ML and DL projects.
Overview
Syllabus
AWS SageMaker For ML And DL Tutorial Playlist- What Will We Learn In This Playlist?.
Tutorial 2-Build,Train, Deploy Machine Learning Model In AWS SageMaker- Creating Notebook Instance.
Tutorial 3-Build,Train, Deploy Machine Learning Model In AWS SageMaker- Creating S3 Buckets.
Tutorial 4-Build,Train, Deploy Machine Learning Model In AWS SageMaker- Uploading Files In S3 Bucket.
Tutorial 5-Build,Train, Deploy Machine Learning Model In AWS SageMaker-Training Xgboost ML ALgo.
Tutorial 6-Build,Train,Deploy Machine Learning Model AWS SageMaker- Deployment Of Xgboost ML Model.
Tutorial 7-Build,Train,Deploy Machine Learning Model AWS SageMaker- Predicting Test Data Endpoints.
Taught by
Krish Naik
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