Category: Finance & Quant
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Part 3: Decoding Central Bank Speeches with NLP (Fed Meetings)
Analyze Fed communications with NLP to predict policy signals. Build sentiment classifier, topic models, and Fed Sentiment Index correlated with markets.
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Part 2: Mapping Market Volatility to Global News Headlines
Correlate news sentiment with market volatility using FinBERT. Event studies, Granger causality tests, and time-series analysis on 6000+ stocks dataset.
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Part 1: Sentiment Analysis of Financial News using FinBERT
Learn how FinBERT transforms financial news into quantified sentiment signals. Practical guide to NLP-based trading with transformers, including dataset analysis and pipeline implementation.
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Deep Learning for Algorithmic Trading: From LSTM to Transformers
Build complete algorithmic trading systems with LSTM and Transformer models, generate trading signals, and validate strategies through rigorous backtesting.
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Detecting Financial Fraud using Anomaly Detection Techniques
Master credit card fraud detection using anomaly detection techniques. Learn SMOTE, Isolation Forest, and proper evaluation metrics for imbalanced data.
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Building a Credit Risk Scoring Model with Machine Learning
Build production-ready credit scoring models with XGBoost and LightGBM. Learn feature engineering, AUC-ROC evaluation, and SHAP interpretability.
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Advanced Feature Engineering for Financial Time-Series
Master financial feature engineering: create RSI, MACD, Bollinger Bands, log returns, lag features, and rolling statistics for time-series ML models.