Data Preparation: Prepare and clean your data for training.
Model Development: Choose a suitable machine learning algorithm and train your model on the prepared data.
Model Deployment: Deploy your trained model to a prediction endpoint.
Model Evaluation: Evaluate the performance of your model using metrics like accuracy, precision, and recall.
Model Optimization: Iterate on your model to improve its performance.
Model Development: Choose a suitable machine learning algorithm and train your model on the prepared data.
Model Deployment: Deploy your trained model to a prediction endpoint.
Model Evaluation: Evaluate the performance of your model using metrics like accuracy, precision, and recall.
Model Optimization: Iterate on your model to improve its performance.
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Free Amazon Web Services Udemy Course👇🏻
AWS Zero to Hero for Beginners
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AWS Zero to Hero for Beginners
https://www.udemy.com/share/101spk3@GzmrD18qgX70QpBN5g0hLIXHBxEBv3Dpqta-Y-mQGdSttKJWhYcxjGOYxCRtIKIq/
Udemy
Free Amazon AWS Tutorial - Amazon Web Services (AWS) - Zero to Hero
Beginners, Zero to Hero. AWS EC2 web server, NodeJS Server, AWS RDS database server, S3, SES & CloudWatch. FREE - Free Course
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Why is everyone talking about Kubernetes? 🤔 Here are 5 reasons that make it a must-learn! 📈💻 DevOps Tool
#gamechanger
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Mastering Git, one commit at a time! Here's a roadmap to help you level up your Git game!
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