EPISODE · Jul 30, 2018 · 11 MIN
AWS Training Video
from Siraj Raval
Amazon Web Service (AWS) offers developers a lot of services, from compute to data storage to serverless functions. In this video, we'll use AWS to train an AI to predict whether or not a customer will churn from using our service. Along the way, I'll explain how different components of the compute service like EC2, Elastic Beanstalk, LightSail, and the EC2 container service work. We'll also look at how SageMaker makes the whole pipeline much faster for beginners. The XGBoost technique will give us some favorable results, and I'll explain why at the end. Amazon did not pay me to make this video. Enjoy! Code for this video: https://github.com/llSourcell/Amazon_Training_Video Please Subscribe! And like. And comment. That's what keeps me going. Want more education? Connect with me here: Twitter: https://twitter.com/sirajraval instagram: https://www.instagram.com/sirajraval Facebook: https://www.facebook.com/sirajology This video is apart of my Machine Learning Journey course: https://github.com/llSourcell/Machine_Learning_Journey More Learning Resources: https://www.youtube.com/watch?v=mZ5H8sn_2ZI https://www.youtube.com/watch?v=ubCNZRNjhyo https://www.youtube.com/watch?v=N89AffsxS-g&t=2044s https://aws.amazon.com/blogs/aws/sagemaker/ https://aws.amazon.com/sagemaker Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ Sign up for the next course at The School of AI: https://www.theschool.ai And please support me on Patreon: https://www.patreon.com/user?u=3191693
What this episode covers
Amazon Web Service (AWS) offers developers a lot of services, from compute to data storage to serverless functions. In this video, we'll use AWS to train an AI to predict whether or not a customer will churn from using our service. Along the way, I'll explain how different components of the compute service like EC2, Elastic Beanstalk, LightSail, and the EC2 container service work. We'll also look at how SageMaker makes the whole pipeline much faster for beginners. The XGBoost technique will give us some favorable results, and I'll explain why at the end. Amazon did not pay me to make this video. Enjoy! Code for this video: https://github.com/llSourcell/Amazon_Training_Video Please Subscribe! And like. And comment. That's what keeps me going. Want more education? Connect with me here: Twitter: https://twitter.com/sirajraval instagram: https://www.instagram.com/sirajraval Facebook: https://www.facebook.com/sirajology This video is apart of my Machine Learning Journey course: https://github.com/llSourcell/Machine_Learning_Journey More Learning Resources: https://www.youtube.com/watch?v=mZ5H8sn_2ZI https://www.youtube.com/watch?v=ubCNZRNjhyo https://www.youtube.com/watch?v=N89AffsxS-g&t=2044s https://aws.amazon.com/blogs/aws/sagemaker/ https://aws.amazon.com/sagemaker Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ Sign up for the next course at The School of AI: https://www.theschool.ai And please support me on Patreon: https://www.patreon.com/user?u=3191693
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AWS Training Video
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