🚀 Welcome to our epic series! Get ready to dive into building a machine learning web app, no matter your skill level! We'll harness the power of Amazon SageMaker, AWS Amplify, and more to make our app shine bright! Our mission? To guide you through the essentials of ML-focused AWS tools integration and web development, step by step. Ready to start your journey? Let's go! 🔥 Here are few key links:
https://aws.amazon.com
https://www.anaconda.com/download
https://www.kaggle.com/datasets/bsugi...
Support us: https://paypal.com/donate/?hosted_but...
Music credit: Free Piano Music For YouTube - "Purpose" by Jonny Easton
Part 12: In this section, we're diving into the world of AWS Lambda functions, where we'll explore the power of serverless computing. Join us as we dissect Lambda function code and learn how to write efficient and scalable functions to power our web applications. We'll cover everything from basic syntax to other features, giving you the knowledge you need to leverage Lambda functions effectively in your projects. By the end, you'll be equipped with the skills to create dynamic and responsive applications with ease.
Relevant files:
Loan Data file:
https://drive.google.com/drive/folder...
Python program for model test in local machine:
https://drive.google.com/drive/folder...
SageMaker notebook:
https://drive.google.com/drive/folder...
Lambda function file including JSON text file:
https://drive.google.com/drive/folder...
Amplify HTML file:
https://drive.google.com/drive/folder...
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