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Python Problem Solving 🚀

Optimized Algorithms & AI Logic

This repository serves as a technical portfolio for algorithmic challenges, data analysis, and AI implementations. Every solution is designed with a focus on O(n) efficiency, robust error handling, and scientific precision.

📂 Repository Structure

  • /Algorithms: High-performance solutions for logic and data structure challenges.
  • /Computer-Vision: Implementations involving YOLO architectures and real-time monitoring.
  • /Numerical-Analysis: Computational scripts for mathematical simulations and physics-based logic.

🛠️ Featured Solution: Response Time Regressions

  • Concept: Identifying data points that strictly exceed the moving average of all preceding entries.
  • Key Optimizations:
    • Implemented guard clauses to handle empty datasets and prevent IndexError.
    • Optimized comparison logic to maintain precision without the overhead of complex library dependencies.