Название: Time Series Forecasting in Python Автор: Marco Peixeiro Издательство: Manning Publications Год: 2022 Формат: True PDF Страниц: 458 Размер: 22,5 Mb Язык: English
Build predictive models from time-based patterns in your data. Master statistical models including new deep learning approaches for time series forecasting. Time Series Forecasting in Python teaches you to build powerful predictive models from time-based data. Every model you create is relevant, useful, and easy to implement with Python. You’ll explore interesting real-world datasets like Google’s daily stock price and economic data for the USA, quickly progressing from the basics to developing large-scale models that use deep learning tools like TensorFlow. Time Series Forecasting in Python teaches you to apply time series forecasting and get immediate, meaningful predictions. You’ll learn both traditional statistical and new deep learning models for time series forecasting, all fully illustrated with Python source code. Test your skills with hands-on projects for forecasting air travel, volume of drug prescriptions, and the earnings of Johnson & Johnson. By the time you’re done, you’ll be ready to build accurate and insightful forecasting models with tools from the Python ecosystem.
Statistical Learning for Big Dependent Data Название: Statistical Learning for Big Dependent Data (Wiley Series in Probability and Statistics) Автор: Daniel Pena, Ruey S. Tsay Издательство:...
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Time Series Forecasting in Python 
