English | Size: 904.40 MB
Genre: eLearning
Learn to pass the AWS ML Certification with a deep dive into Part 2 of the Sagemaker Pipelines material.
00:00 Intro
02:39 Drop missing values
04:46 Outliers
06:57 Feature selection
10:55 File formats for machine learning
13:46 K-fold cross validation
15:55 Training models with Amazong SageMaker
17:33 XGBoost
19:29 Is your model ready to deploy?
22:05 Creating an endpoint
23:26 Machine learning pipeline
25:30 Confusion matrix
27:27 Sensitivity
29:02 Classification report: ROC graph
30:51 Hyperparameter categories
32:06 Sagemaker hyperparameter tuning
https://turb.pw/a933kmojieq6/PRAGMATIC_AI_52_WEEKS_OF_AWS_EPISODE_25_AWS_ML_CERT_SAGEMAKER_PIPELINES_PART_2.part1.rar.html
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