Udemy No Code Machine Learning Using Amazon AWS SageMaker Canvas

Udemy No Code Machine Learning Using Amazon AWS SageMaker Canvas
     Get Bonus Downloads Here.url -


     1. What is Machine Learning.mp4 -


     1. What is Machine Learning.srt -


     1. White Wine Quality Prediction.mp4 -


     1. White Wine Quality Prediction.srt -


     1.1 White Wine Quality Values Complete Data.csv -


     1. Versioning.mp4 -


     1. Versioning.srt -


     1. Getting Datasets for Practice.mp4 -


     1. Getting Datasets for Practice.srt -


     1.1 Bright Data.html -


     1.2 Google Dataset Search.html -


     1.3 Kaggle.html -


     1.4 Microsoft Research Open Data.html -


     1.5 Registry of Open Data on AWS.html -


     1.6 UCI Machine Learning Repository.html -


     2. Getting Help on SageMaker Canvas.mp4 -


     2. Getting Help on SageMaker Canvas.srt -


     3. Congratulations & Thankyou.mp4 -


     3. Congratulations & Thankyou.srt -


     1. What is Amazon Web Services (AWS) .mp4 -


     1. What is Amazon Web Services (AWS) .srt -


     2. Signing into AWS Console.mp4 -


     2. Signing into AWS Console.srt -


     1. What is SageMaker and how it is used for Machine Learning.mp4 -


     1. What is SageMaker and how it is used for Machine Learning.srt -


     2. What is SageMaker Canvas.mp4 -


     2. What is SageMaker Canvas.srt -


     1. SageMaker Domain and User Setup.mp4 -


     1. SageMaker Domain and User Setup.srt -


     2. Setup Data in S3 Buckets for use in SageMaker.mp4 -


     2. Setup Data in S3 Buckets for use in SageMaker.srt -


     1. Navigating in SageMaker Canvas.mp4 -


     1. Navigating in SageMaker Canvas.srt -


     1. Adding Training Data.mp4 -


     1. Adding Training Data.srt -


     1.1 Bank Note Authentication - Test.csv -


     1.2 Bank Note Authentication - Train.csv -


     2. Building and Using Model for Prediction.mp4 -


     2. Building and Using Model for Prediction.srt -


     3. Predict Single & Batch Dataset.mp4 -


     3. Predict Single & Batch Dataset.srt -


     4. Validating Accuracy of Batch Predictions.mp4 -


     4. Validating Accuracy of Batch Predictions.srt -


     1. Adding Train & Test Data.mp4 -


     1. Adding Train & Test Data.srt -


     1.1 Spam SMS Detection - Test.csv -


     1.2 Spam SMS Detection - Train.csv -


     2. Building and Using Model for Prediction.mp4 -


     2. Building and Using Model for Prediction.srt -


     3. Predicting Data and Validating Accuracy.mp4 -


     3. Predicting Data and Validating Accuracy.srt -


     1. Adding Data.mp4 -


     1. Adding Data.srt -


     1.1 Customer Churn Prediction - Test.csv -


     1.2 Customer Churn Prediction - Train.csv -


     2. Building Model.mp4 -


     2. Building Model.srt -


     3. Performing & Validating Predictions.mp4 -


     3. Performing & Validating Predictions.srt -


     1. Adding & Joining Datasets.mp4 -


     1. Adding & Joining Datasets.srt -


     1.1 Wine Quality - Red - Test.csv -


     1.2 Wine Quality - Red - Train(1).csv -


     1.3 Wine Quality - Red - Train(2).csv -


     2. Building Model.mp4 -


     2. Building Model.srt -


     3. Predicting Test Data.mp4 -


     3. Predicting Test Data.srt -


     Bonus Resources.txt -

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