Tag: Time Series
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IQR vs Isolation Forest vs DBSCAN: 47% False Positive Gap
Compare IQR, Isolation Forest, and DBSCAN for anomaly detection. Discover why false positive rates differ by 47% and which method fits your data.
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PySpark Window Functions: 3 Patterns That Scale Rolling Aggs
Master PySpark window functions with 3 battle-tested patterns for rolling aggregations. Fix memory issues and scale to billions of rows.
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LSTM vs Transformer: S&P 500 1-Year Benchmark Results
LSTM vs Transformer showdown: 1-year S&P 500 predictions reveal surprising accuracy gaps. Which architecture wins for financial forecasting?
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Pandas Interpolation Methods: 5 Techniques Benchmarked on Sensor Data
Compare Pandas interpolation methods on real sensor data. Benchmark 5 techniques to find which fills missing values fastest with lowest error.
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ARIMA vs GARCH vs LSTM: Bitcoin Forecast Speed Benchmarks
ARIMA vs GARCH vs LSTM: Compare Bitcoin prediction speeds across statistical and deep learning models. Which wins the benchmark race?
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GARCH vs LSTM for Bitcoin Volatility Forecasting
GARCH(1,1) beat LSTM by 32% on Bitcoin volatilityโwhy the 1986 model wins and when neural networks might actually outperform it.
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Tesla Stock Prediction: LSTM vs ARIMA (32% Difference)
LSTM beat ARIMA by 32% on Tesla prediction, but even the winner had 6-12% error. Here's what worked, what failed, and why timing beats models.
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Tesla Stock 15-Year Data Analysis: 4 Volatility Regimes
Tesla stock's 15-year distribution shows 4 volatility regimes and fat-tailed returns. Here's what Sharpe ratios won't tell you.