├── Analyze-Datasets-and-Train-ML-Models-using-AutoML ├── AutoML.pdf ├── Week-01 │ └── C1_W1_Assignment.ipynb ├── Week-02 │ ├── SageMakerAutopilotCandidateDefinitionNotebook.ipynb │ ├── distribution_sentiment_per_category.png │ └── num_reviews_per_category.png ├── Week-03 │ ├── C1_W3_Assignment.ipynb │ ├── SageMakerAutopilotDataExplorationNotebook.ipynb │ └── avg_sentiment_per_category.png └── Week-04 │ └── C1_W4_Assignment.ipynb ├── Build, Train, and Deploy ML Pipelines using BERT ├── Build, Train and deploy ML pipeline using BERT.pdf ├── Week-01 │ ├── C2_W1_Assignment.ipynb │ ├── README.md │ ├── balanced │ │ ├── sentiment-test │ │ │ └── part-algo-1-womens_clothing_ecommerce_reviews.tsv │ │ ├── sentiment-train │ │ │ └── part-algo-1-womens_clothing_ecommerce_reviews.tsv │ │ └── sentiment-validation │ │ │ └── part-algo-1-womens_clothing_ecommerce_reviews.tsv │ ├── feature_store_export.tsv │ ├── images │ │ ├── distribution_num_words_per_review.png │ │ └── sm_studio_extensions_featurestore.png │ └── src │ │ └── prepare_data.py ├── Week-02 │ ├── C2_W2_Assignment.ipynb │ ├── Profile Reports │ │ ├── BatchSize.json │ │ ├── CPUBottleneck.json │ │ ├── Dataloader.json │ │ ├── GPUMemoryIncrease (1).json │ │ ├── GPUMemoryIncrease.json │ │ ├── IOBottleneck.json │ │ ├── LoadBalancing.json │ │ ├── LowGPUUtilization.json │ │ ├── MaxInitializationTime.json │ │ ├── OverallFrameworkMetrics.json │ │ ├── OverallSystemUsage.json │ │ ├── StepOutlier.json │ │ ├── profiler-report.html │ │ └── profiler-report.ipynb │ ├── image │ │ ├── cloudwatch_validation_metrics.png │ │ └── sagemaker_scriptmode.png │ └── src │ │ ├── config.json │ │ ├── inference.py │ │ ├── requirements.txt │ │ └── train.py └── Week-03 │ ├── C2_W3_Assignment.ipynb │ ├── config.json │ ├── evaluate_model_metrics.py │ ├── inference.py │ ├── prepare_data.py │ ├── requirements.txt │ └── train.py ├── Capture.PNG ├── Hands-On Prepare, Clean, Transform, and load Data using Power Bi.pdf ├── Optimize ML Models and Deploy Human-in-the-Loop Pipelines ├── Optimize ML Models and Deploy Human-in-the-Loop Pipelines.pdf ├── README.md ├── Week-01 │ ├── C3_W1_Assignment.ipynb │ ├── Data │ │ ├── sentiment-test │ │ │ └── part-algo-1-womens_clothing_ecommerce_reviews.tsv │ │ ├── sentiment-train │ │ │ └── part-algo-1-womens_clothing_ecommerce_reviews (1).tsv │ │ └── sentiment-validation │ │ │ └── part-algo-1-womens_clothing_ecommerce_reviews.tsv │ ├── generated │ │ └── confusion_matrix.png │ ├── images │ │ ├── hpt.png │ │ ├── sagemaker_hpt.png │ │ └── training.PNG │ └── src │ │ ├── config.json │ │ ├── evaluate_model_metrics.py │ │ ├── inference.py │ │ ├── requirements.txt │ │ └── train.py ├── Week-02 │ ├── C3_W2_Assignment.ipynb │ ├── data │ │ ├── sentiment-test │ │ │ └── part-algo-1-womens_clothing_ecommerce_reviews.tsv │ │ ├── sentiment-train │ │ │ └── part-algo-1-womens_clothing_ecommerce_reviews.tsv │ │ └── sentiment-validation │ │ │ └── part-algo-1-womens_clothing_ecommerce_reviews.tsv │ ├── images │ │ ├── endpoint-workflow-1-image.png │ │ ├── endpoint-workflow-2-models.png │ │ ├── endpoint-workflow-3-variants.png │ │ ├── endpoint-workflow-4-configuration.png │ │ ├── endpoint-workflow-5-endpoint.png │ │ └── endpoint-workflow.png │ └── src │ │ ├── config.json │ │ ├── inference.py │ │ └── requirements.txt └── Week-03 │ ├── C3_W3_Assignment.ipynb │ ├── images │ ├── augmented-ai-loop.png │ ├── human-loop-workflow-1-workforce.png │ ├── human-loop-workflow-2-taskUI.png │ ├── human-loop-workflow-3-review.png │ ├── human-loop-workflow-4-start.png │ └── label-data-job-instructions.png │ └── src │ ├── config.json │ ├── inference.py │ └── requirements.txt ├── Practical Data Science on AWS Cloud.pdf └── README.md /Analyze-Datasets-and-Train-ML-Models-using-AutoML/AutoML.pdf: -------------------------------------------------------------------------------- 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