Time Series Analysis with Python Cookbook, Second Edition - Published by Packt
-
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 analysis, statistical and machine learning models for forecasting, regression, and classification
Time Series Forecasting project using StatsForecast and statistical models like AutoARIMA, Seasonal Naive, and Window Average. Includes preprocessing, feature engineering, visualization, and model evaluation.
A comparison of time-series forecasting models on a weekday-only data using StatsForecast library.
Forecast time series with >95% accuracy
Time-series modelling of stock prices for Apple, Alphabet, Amazon and Meta
Add a description, image, and links to the statsforecast topic page so that developers can more easily learn about it.
To associate your repository with the statsforecast topic, visit your repo's landing page and select "manage topics."