Category: Kaggle Financial
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Deep Learning for Algorithmic Trading: From LSTM to Transformers
Compare LSTM vs Transformer for stock prediction: 2-year backtest on S&P 500 with Sharpe ratios. Complete training and signal generation code.
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Detecting Financial Fraud using Anomaly Detection Techniques
Detect credit card fraud with Isolation Forest on 99.8% imbalanced data. SMOTE resampling vs raw: which metric to trust? Code + benchmarks.
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Building a Credit Risk Scoring Model with Machine Learning
Build a credit scoring model with XGBoost: 0.92 AUC-ROC achieved. SHAP explainability, feature engineering, and production deployment guide.
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Advanced Feature Engineering for Financial Time-Series
Engineer 15 financial features for time-series ML: RSI, MACD, Bollinger Bands, lag returns. Code templates for pandas and feature validation.
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Exploratory Data Analysis (EDA) for Stock Price Prediction
Run EDA on stock data: detect non-stationarity, compute volatility metrics, and find correlation traps before modeling. Jupyter notebook included.
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Navigating the Landscape of Financial Datasets on Kaggle
Stop wasting hours hunting Kaggle datasets. These 5 financial datasets include stock data, fraud cases, and credit riskโready to analyze today.