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01 - Introduction
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02 - PART 1 AWS & ML STARTER PACK!
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03 - Day 1 AWS Essentials Starter Pack - Part 1 (SignUp, Free Tier, Billing, & IAM)
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04 - Day 2 AWS Essentials Starter Pack - Part 2 (AI, ML, DL, DS, S3, & EC2)
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05 - Day 3 AWS Essentials Starter Pack - Part 3 (Amazon SageMaker)
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06 - PART 2 DATA LABELING IN AWS
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07 - Day 4 Labeling Data With AWS SageMaker GroundTruth
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08 - Day 5 Labeling Text, Bounding Boxes, and Semantic Segmentation in GroundTruth
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09 - PART 3 EXPLORATORY DATA ANALYSIS
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10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas
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11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas
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12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas
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13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization
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14 - Day 10 Amazon SageMaker Data Wrangler
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15 - PART 4 MACHINE LEARNING REGRESSION
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16 - Day 11 Simple Linear Regression in Scikit-Learn
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17 - Day 12 Regression Using AWS SageMaker Linear Learner
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18 - Day 13 Multiple Linear Regression in Scikit-Learn
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19 - Day 14 Multiple Linear Regression with AWS SageMaker Linear Learner
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20 - Day 15 Launch ML Training Job from AWS Management Console (Regression)
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21 - Day 16 XG-Boost Regression in Scikit-Learn
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22 - Day 17 Built-in SageMaker XG-Boost Algorithm
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23 - Day 18 AWS SageMaker JumpStart
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24 - PART 5 HYPERPARAMETERS OPTIMIZATION
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25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)
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26 - Day 20 Hyperparameters Optimization in SageMaker
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27 - PART 6 MACHINE LEARNING CLASSIFICATION & ChatGPT FOR PROGRAMMERS
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28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest
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29 - Day 22 XG-Boost Classification in AWS SageMaker
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30 - Day 23 K Nearest Neighbors (KNN) in SageMaker
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31 - Day 24 ChatGPT for Programmers
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32 - PART 7 AUTOML & NO-CODE ML
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33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems
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34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems
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35 - Day 27 No-Code ML - Amazon SageMaker Autopilot
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36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks
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37 - PART 8 MACHINE LEARNING WORKFLOWS
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38 - Day 29 Lambda Functions Using AWS Console
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39 - Day 30 Lambda Functions Using AWS SageMaker Boto3 SDK
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