SageMaker Tutorial | AutoML with Amazon SageMaker AutoPilot
SageMaker Autopilot is a service which automatically, builds, trains and tunes models based on data. It reduces valuable EDA time and helps us save time and scale. Join WhatsApp: https://www.whatsapp.com/channel/0029Va8fH154IBhEu3t21y2o πGet CloudWays βhttps://www.cloudways.com/en/?id=1365224 βοΈβοΈ USE THE EXCLUSIVE COUPON CODE ABOVE TO GET 40% OFF FOR 4 MONTHSπ₯along with 40 FREE migrations handled by our expert engineers (valid till 1st December, 2024). πGet Digital Ocean β digitalocean.pxf.io/ZQERvQ π₯Get $200 FREE Credits for signup. So, hurry up!π₯ βββ¦βββ¦ββββ¦ββ¦β¦β¦β¦ββββ βββ£βββββ£ββ£ββ£ββ£βββ£ββ£ β βββββββ ββββ£βββββββ£ βββ©βββ©ββ©ββ©ββ©βββ©ββ©ββ Today we are going to use the public dataset from UCI. Where, The data is related with direct marketing campaigns of a Portuguese banking institution. The classification goal is to predict if the client will subscribe a term deposit. -- Key Takeaways The key takeaways from our session are: a) Use Autopilot to save Exploratory Data Analysis Time b) Develop a comprehensive report / especially for sensitive type of data c) Easy to maintain, scalable ML pipelines Amazon SageMaker Autopilot eliminates the heavy lifting of building machine learning (ML) models. In this video, you'll discover how you can use SageMaker Autopilot to automatically build, train, and tune the best ML models based on your data, while maintaining full control and visibility, Learn more about Amazon SageMaker Autopilot: https://go.aws/3dQuIet #awssagemaker #aws #cloudguru #machinelearning
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