From the course: Learning Amazon SageMaker AI
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Challenge: Train a model - Amazon SageMaker Tutorial
From the course: Learning Amazon SageMaker AI
Challenge: Train a model
(upbeat music) - Are you ready for your next hands-on challenge? Let's jump right in. For this challenge, you'll train a custom model using one of SageMaker's built-in learning algorithms. Follow these simple steps to launch and monitor a training job. First, load your pre-processed traffic data into SageMaker Studio. Then, choose the most appropriate SageMaker built-in algorithm for predicting traffic congestion. Here's a tip. Consider Linear Learner or XGBoost. Next, set up the training job in SageMaker Studio by configuring the input data and hyperparameters. Finally, initiate and monitor the training job through the console. Good luck and have fun. Don't be afraid to try multiple algorithms and compare their performance. Start simple and add complexity as needed. Then meet me in the next video to see how I did it.
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