Time Series Analysis with Python Cookbook, Second Edition - Published by Packt
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Updated
Feb 12, 2026 - Jupyter Notebook
Time Series Analysis with Python Cookbook, Second Edition - Published by Packt
Nixtla time series forecasting plugins for Claude Code. StatsForecast, MLForecast, and NeuralForecast integrations with agent skills.
Time-series forecasting platform with AutoModels, exogenous analysis, resource monitoring and experiment management.
Lottery time-series feature engineering platform for NeuralForecast AutoModels.
Probabilistic day-ahead LMP forecasting for 8–12 PJM zones using Temporal Fusion Transformer and a frozen semantic-embedding fusion branch. Produces P10/P50/P90 hourly forecasts, attention and variable-importance visualizations, and fusion-gate diagnostics.
Minimal reference implementation for running Lightning and NeuralForecast on Intel GPU via native PyTorch XPU.
Benchmarking a stacked LSTM, custom Transformer, and a Temporal Fusion Transformer on forecasting tasks using hourly Bitcoin data.
Dashboard Analitik Time Series dengan NHITS
Research and operations platform for statistically rigorous lottery forecasting experiments across six games.
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