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Overview
500+ Slides | 200+ Questions | Become Certified in AWS ML| SageMaker|Data Engineering | Visualization | Model Deployment What you'll learn: Data EngineeringData types, Python Libraries (pandas, Numpy, scikit Learn, MatplotLib, Seaborn), data distributions, timeseries, Feature Engineering (imputation, binning, encoding, and normalization)AWS Services and AlgorithmsAmazon SageMaker, Amazon S3 Storage services, AWS GlueAWS Kinesis Services (Kinesis firehose, Kinesis video streams, Kinesis data streams, Kinesis analytics)Redshift, Redshift Spectrum, DynamoDB, Athena, Amazon Quicksight, Elastic Map Reduce (EMR)Rekognition, Lex, Polly, Comprehend, Translate, transcribe,...
Syllabus
- INTRODUCTION, DATA/ML LINGO, AWS DATA STORAGE
- AMAZON S3
- AWS DATA MIGRATION, GLUE, PIPELINE, STEP and BATCH
- DATA STREAMING AND KINESIS
- JUPYTER NOTEBOOK, SCIKIT-LEARN, PYTHON PACKAGES, AND DISTRIBUTIONS
- ATHENA, QUICKSIGHT, EMR
- FEATURE ENGINEERING
- MACHINE AND DEEP LEARNING BASICS - PART #1
- MACHINE AND DEEP LEARNING BASICS - PART #2
- MACHINE AND DEEP LEARNING IN AWS - PART #1
Instructor
Dr. Ryan Ahmed | 400K+ Students | Best-Selling Professor | 250K+ YouTube
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