A collection of practical projects focused on implementing and exploring various Artificial Intelligence paradigms.
- Reinforcement Learning (RL): Training autonomous agents for dynamic decision-making using reward systems.
- Genetic Algorithms: Solving optimization and search problems using evolution-inspired heuristics (selection, crossover, and mutation).
- Recommender Systems: Implementing prediction and filtering models to suggest personalized items based on user preferences and interactions.