A Python-based financial analytics project that analyzes stock market data using yfinance, Pandas, NumPy, and visualization libraries to generate trends, moving averages, volatility analysis, and financial insights.
Pipeline complet de détection de fraude bancaire utilisant XGBoost (F1: 85%). Inclut le nettoyage automatisé, l'équilibrage des données (SMOTE) et l'optimisation des seuils de décision pour minimiser les faux positifs
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