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artificial-intelligence-algorithms

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This project was presented for the Artificial Intelligence course for the academic year 2022/2023. It explores various methods to solve the N-Queens problem, including Random Search, Backtracking, Hill-Climbing, Simulated Annealing, and Genetic Algorithms. Each method is evaluated for its efficiency and effectiveness in finding solutions.

  • Updated May 28, 2024
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Implemented movie recommendation with LightGCN. Evaluated against 5 CF methods, emphasizing precision and recall. Created interactive website with HTML, CSS, JS, Flask for personalized recommendations, enhancing UX. Achieved 96% accuracy.

  • Updated May 20, 2024
  • Jupyter Notebook

This project focuses on predicting the prices of clothes based on various features such as category, size, and color. Leveraging the power of machine learning, specifically supervised learning algorithms, we aim to build a robust predictive model capable of estimating prices with high accuracy.

  • Updated May 17, 2024
  • Jupyter Notebook

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