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cloudcomputing

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AI‑DataScience‑Lab is a web app for uploading CSV datasets, cleaning with Pandas, and running quick exploratory analyses and regression models using scikit‑learn. Its modular design supports future AI extensions, like deep learning with TensorFlow or insight generation via the OpenAI API.

  • Updated May 23, 2025
  • HTML

🚀 Join me on my Azure Labs Journey! 🌩️ In this repo, I’m sharing my hands-on experience with Microsoft Azure through click-by-click tutorials, 📸 screenshots, and super simple explanations 🧠 — perfect for beginners! From launching VMs 💻 to setting up storage ☁️, networking 🌐, and security 🔐 — every step is documented with love and clarity.

  • Updated Jul 13, 2025
  • HTML

A beginner-friendly project to create and deploy a static website on AWS S3. This project demonstrates how to use Amazon S3 as a static website host, configure bucket policies for public access, and manage HTML/CSS content on the cloud. Perfect for newcomers to cloud computing and AWS.

  • Updated Oct 25, 2024
  • HTML

This project is a fully serverless contact form, built using AWS Lambda (Python), API Gateway, and DynamoDB. The frontend is a simple HTML file that can be opened in any browser—no hosting or domain required. Form submissions are securely processed and stored in DynamoDB with robust validation and error handling.

  • Updated Jun 27, 2025
  • HTML

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