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1. Deep-Learning-Final-Project-Facial-Expression-Recognition Deep-Learning-Final-Project-Facial-Expression-Recognition Public

   Deep Learning Final Project (M.Sc. Data Science, HIT): Classifying facial expressions into 7 emotions using a five-block Deep CNN built from scratch (62.8% test) and a fine-tuned Swin Transformer r…

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2. Reinforcement-Learning-Final-Project-MCTS-AlphaZero Reinforcement-Learning-Final-Project-MCTS-AlphaZero Public

   Reinforcement Learning Final Project (M.Sc. Data Science, HIT): Monte Carlo Tree Search from scratch, extended into an AlphaZero-style self-play policy-value agent — validated against an exact mini…

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3. Natural-Language-Processing-Final-Project-One-Piece Natural-Language-Processing-Final-Project-One-Piece Public

   NLP Final Project (M.Sc. Data Science, HIT): predicting One Piece character bounties from wiki text + a relationship network — TF-IDF/SVD, NetworkX, CatBoost; combined model R² 0.42 vs 0.37 text-only

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4. Machine-Learning-Final-Project-Santander Machine-Learning-Final-Project-Santander Public

   Final Project (Grade 95, M.Sc. Data Science, HIT): customer-transaction classification with CatBoost — AUC 0.894 val / 0.859 Kaggle private LB; 217 engineered features narrowed to the 65 most impac…

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5. Cloud-Big-Data-Infrastructure-Final-Project-HR-Analytics Cloud-Big-Data-Infrastructure-Final-Project-HR-Analytics Public

   Final Project (M.Sc. Data Science, HIT): end-to-end PySpark pipeline on 10,000 HR records — 3-method imputation (Gradient-Boosted Trees, R² = 0.986), K-Means segmentation (K = 3), and a constraint-…

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6. IAF-Resource-Optimization IAF-Resource-Optimization Public

   Final Project (Grade 92, B.Sc. IE&M, Shenkar): crew-scheduling optimization for IAF squadrons during the Iron Swords war — 52 weeks / 39K+ assignments analyzed, a linear-programming assignment mode…

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