Introduction to Machine Learning |
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What is Machine Learning? |
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00:04:00 |
Introduction to AWS |
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What is Amazon Web Services (AWS)? |
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00:01:00 |
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Signing into AWS Console |
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00:02:00 |
Introduction to SageMaker |
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What is SageMaker, and how it is used for Machine Learning? |
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00:03:00 |
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What is SageMaker Canvas? |
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00:03:00 |
Setup |
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SageMaker Domain and User Setup |
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00:04:00 |
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Setup Data in S3 Buckets for use in SageMaker |
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00:03:00 |
SageMaker Canvas Interface Walkthrough |
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Navigating in SageMaker Canvas |
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00:02:00 |
Project 01: Banknote Authentication |
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Adding Training Data |
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00:03:00 |
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Building and Using Model for Prediction |
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00:08:00 |
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Predict Single & Batch Dataset |
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00:07:00 |
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Validating Accuracy of Batch Predictions |
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00:02:00 |
Project 02: Spam SMS Detection |
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Adding Train & Test Data |
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00:01:00 |
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Building and Using Model for Prediction |
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00:03:00 |
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Predicting Data and Validating Accuracy |
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00:02:00 |
Project 03: Customer Churn Prediction |
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Adding Data |
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00:02:00 |
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Building Model |
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00:03:00 |
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Performing & Validating Predictions |
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00:04:00 |
Project 04: Wine Quality Prediction |
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Adding & Joining Datasets |
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00:04:00 |
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Building Model |
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00:03:00 |
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Predicting Test Data |
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00:02:00 |
Assignment |
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White Wine Quality Prediction |
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00:02:00 |
Other Important Features in SageMaker Canvas |
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Versioning |
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00:04:00 |
Congratulations & Next Steps |
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Getting Datasets for Practice |
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00:04:00 |
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Getting Help on SageMaker Canvas |
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00:04:00 |
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Congratulations & Thankyou |
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00:01:00 |
Order Your Certificate |
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Order Your Certificate |
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00:00:00 |