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Practical Time Series Analysis: Prediction with Statistics and Machine Learning

4.4/5 (1290744 ratings)

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Solve the most common data engineering and analysis challenges for modern time series data. This book provides an accessible well-rounded introduction to time series in both R and Python that will have software engineers, data scientists, and researchers up and running quickly and competently to do time-related analysis in their field of interest.

Author Aileen Nielsen also offers practical guidance and use cases from the real world, ranging from healthcare and finance to scientific measurements and social science projections. This book offers a more varied and cutting-edge approach to time series than is available in existing books on this topic.

Pages: Array

Format: PDF, EPUB & Kindle Edition

Publisher: Array Publishing

Release: Array

ISBN: 1492041653

Practical Time Series Analysis: Prediction with Statistics and Machine Learning

4.4/5 (1290744 ratings)

Solve the most common data engineering and analysis challenges for modern time series data. This book provides an accessible well-rounded introduction to time series in both R and Python that will have software engineers, data scientists, and researchers up and running quickly and competently to do time-related analysis in their field of interest.

Author Aileen Nielsen also offers practical guidance and use cases from the real world, ranging from healthcare and finance to scientific measurements and social science projections. This book offers a more varied and cutting-edge approach to time series than is available in existing books on this topic.

Pages: Array

Format: PDF, EPUB & Kindle Edition

Publisher: Array Publishing

Release: Array

ISBN: 1492041653

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