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