Time Series Forecasting in Python - Peixeiro, Marco
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Build predictive models from time-based patterns in your data. Master statistical models including new deep learning approaches for time series forecasting. In Time Series Forecasting in Python you will learn how to: * Recognize a time series forecasting problem and build a performant predictive model * Create univariate forecasting models that account for seasonal effects and external variables * Build multivariate forecasting models to predict many time series at once * Leverage large datasets by using deep learning for forecasting time series * Automate the forecasting process Time Series…mehr

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Produktbeschreibung
Build predictive models from time-based patterns in your data. Master statistical models including new deep learning approaches for time series forecasting. In Time Series Forecasting in Python you will learn how to: * Recognize a time series forecasting problem and build a performant predictive model * Create univariate forecasting models that account for seasonal effects and external variables * Build multivariate forecasting models to predict many time series at once * Leverage large datasets by using deep learning for forecasting time series * Automate the forecasting process 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.
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Autorenporträt
Marco Peixeiro is a seasoned data science instructor who has worked as a data scientist for one of Canada's largest banks. He is an active contributor to Towards Data Science, an instructor on Udemy, and on YouTube in collaboration with free CodeCamp.