📁 Folder Tree

• 📁 AWS Certified Machine Learning - Specialty (MLS-C01)
  • 📂 CHAPTER 01 Introduction
    • 📂 01-03 About The Exam
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    • 📂 01-04 About This Course
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  • 📂 CHAPTER 02 Data Collection
    • 📂 02-02 Concepts
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    • 📂 02-03 General Data Terminology
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    • 📂 02-04 Machine Learning Data Terminology
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    • 📂 02-05 AWS Data Stores
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    • 📂 02-06 AWS Migration Tools
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    • 📂 02-07 AWS Helper Tools
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    • 📂 02-08 Exam Tips
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  • 📂 CHAPTER 03 Streaming Data Collection
    • 📂 03-02 Concepts
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    • 📂 03-03 Kinesis Data Streams
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    • 📂 03-04 Kinesis Firehose
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    • 📂 03-05 Kinesis Video Streams
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    • 📂 03-06 Kinesis Data Analytics
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    • 📂 03-07 Exam Tips
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    • 📂 03-08 Demo Streaming Data Collections
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  • 📂 CHAPTER 04 Data Preparation
    • 📂 04-01 Introduction
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    • 📂 04-02 Concepts
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    • 📂 04-03 Categorical Encoding
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    • 📂 04-04 Text Feature Engineering
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    • 📂 04-05 Numeric Feature Engineering
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    • 📂 04-06 Other Feature Engineering
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    • 📂 04-07 Handling Missing Values
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    • 📂 04-08 Feature Selection
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    • 📂 04-09 Helper Tools
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    • 📂 04-10 Exam Tips
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    • 📂 04-11 Data Preparation Lab
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  • 📂 CHAPTER 05 Data Analysis and Visualization
    • 📂 05-01 Introduction
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    • 📂 05-02 Concepts
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    • 📂 05-03 Relationships
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    • 📂 05-04 Comparisons
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    • 📂 05-05 Distributions
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    • 📂 05-06 Compositions
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    • 📂 05-07 Choosing A Visualization
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    • 📂 05-08 Exam Tips
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    • 📂 05-09 Data Analysis and Visualization
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  • 📂 CHAPTER 06 Modeling
    • 📂 06-01 Introduction
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    • 📂 06-02 Concepts
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    • 📂 06-03 Data Preparation
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    • 📂 06-04 SageMaker Modeling
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    • 📂 06-05 SageMaker Training
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    • 📂 06-06 Exam Tips
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    • 📂 06-07 Modeling Lab
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  • 📂 CHAPTER 07 Algorithms
    • 📂 07-02 Algorithms
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    • 📂 07-03 Concepts
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    • 📂 07-04 Regression
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    • 📂 07-05 Clustering
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    • 📂 07-06 Classification
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    • 📂 07-07 Image Analysis
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    • 📂 07-08 Anomaly Detection
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    • 📂 07-09 Text Analytics
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    • 📂 07-10 Reinforcement Learning
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    • 📂 07-11 Forecasting
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    • 📂 07-12 Ensemble Learning
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    • 📂 07-13 Exam Tips
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    • 📂 07-14 Algorithms Lab
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    • 📂 07-15 HANDS-ON LAB Creating a TensorFlow Image Classifier in AWS SageMaker
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  • 📂 CHAPTER 08 Evaluation and Optimization
    • 📂 08-01 Introduction
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    • 📂 08-02 Concepts
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    • 📂 08-03 Monitoring and Analyzing Training Jobs
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    • 📂 08-04 Evaluating Model Accuracy
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    • 📂 08-05 Model Tuning
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    • 📂 08-06 Exam Tips
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    • 📂 08-07 Evaluation and Optimization Lab
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    • 📂 08-10 DynamoDB Overview
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  • 📂 CHAPTER 09 Implementation and Operations
    • 📂 09-02 Concepts
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    • 📂 09-03 AI Developer Services
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    • 📂 09-05 Amazon SageMaker Deployments
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    • 📂 09-06 Other ML Deployment Options
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    • 📂 09-07 Security
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    • 📂 09-08 Monitor and Evaluate
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    • 📂 09-09 Exam Tips
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    • 📂 09-10 Implementation and Operation Labs
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    • 📂 09-11
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