AWS SageMaker Practical for Beginners | Build 6 Projects

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Overview

Master AWS SageMaker Algorithms (Linear Learner, XGBoost, PCA, Image Classification) & Learn SageMaker Studio & AutoML What you'll learn: Train and deploy AI/ML models using AWS SageMakerOptimize model parameters using hyperparameters optimization search.Develop, train, test and deploy linear regression model to make predictions.Deploy production level multi-polynomial regression model to predict store sales based on the given features.Develop a deploy deep learning-based model to perform image classification.Develop time series forecasting models to predict future product prices using DeepAR.Develop and deploy...

Syllabus

Introduction, Success Tips & Best Practices and Key Learning Outcomes
Introduction to AI/ML, AWS and Cloud Computing
Project #1 - Employee Salary Predictions Using AWS SageMaker Linear Learner
Project #2 - Medical Insurance Premium Prediction
Project #3 - Retail Sales Prediction Using AWS SageMaker XGBoost (Regression)
Project #4 - Predict Cardiovascular Disease Using PCA & XGBoost (Classification)
Project #5 - Deep Learning for Traffic Sign Classification Using AWS SageMaker
Project #6 - SageMaker Studio DeepDive and AutoML