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A multi-layered fake news verification pipeline that combines artifact-aware text cleaning, a fine-tuned BERT classifier for deep semantic analysis, and a live NLI-based fact-checking engine using β¦
Inflation forecasting during crisis periods using Bayesian Dynamic Linear Models, traditional econometrics, and machine learning. Includes data, code, and comprehensive analysis report.
An end-to-end NLP pipeline for structured classification of free-text aircraft delay reports. This project fine-tunes transformer models (BERT) to classify operational delay causes, predict affecteβ¦
Breast cancer classification using XGBoost with feature selection, SMOTE oversampling, and hyperparameter tuning on the UCI Wisconsin Diagnostic dataset.
Python
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