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learning-materials

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Collection of mine and others presentations on various topics like application security, python, cloud security, DevSecOps and so on... These are free to use and publicly available slides. But, don't forget to give the credit to the owners!

  • Updated Mar 24, 2025

🎨 Transform photos into stunning cartoon artwork using OpenCV! Features advanced edge detection, color quantization & bilateral filtering. Includes Gradio web interface for easy use, Jupyter notebooks for exploration, and modular Python architecture. Perfect for learning computer vision concepts.

  • Updated Jul 29, 2025
  • Jupyter Notebook

🧑‍💻 Academic-Labs-Collection is a growing repository of academic lab projects, including cryptography, machine learning, statistics, number theory, and algorithms. Designed for students and educators, it provides organized resources and code samples, with plans for continuous expansion and new lab additions.

  • Updated Aug 25, 2025
  • C++

🦠 Covid19 Visualization & Analysis is a community-driven Python project for exploring, visualizing, and analyzing global Covid-19 data. It features interactive notebooks, scripts, and guides to help users uncover trends, create impactful visualizations, and share insights for research, education, and public awareness.

  • Updated Aug 25, 2025
  • Jupyter Notebook

🌱 A complete hands-on Vue 3 tutorial repo featuring step-by-step projects, real-world examples, and industry best practices. Master core concepts, reusable components, routing, forms, state management, and advanced techniques to build modern, scalable, and high-performance web apps. Perfect for beginners and pros enhancing their Vue.js expertise!

  • Updated Aug 10, 2025
  • Vue

🪨 Machine learning project using logistic regression to classify sonar signals as either rocks or mines. Uses scikit-learn to train a binary classifier on sonar dataset with 60 numerical features for accurate underwater object detection.

  • Updated Jul 25, 2025
  • Jupyter Notebook

📘 This repository offers a complete K-Nearest Neighbors (KNN) tutorial, guiding you from core theory to hands-on practice. Learn to implement KNN from scratch with NumPy, apply it using scikit-learn, and explore visualizations, datasets, and Jupyter notebooks to fully understand, test, and optimize the algorithm.

  • Updated Aug 9, 2025
  • Jupyter Notebook

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