Free download Practical Time Series Analysis: Prediction with Statistics and Machine Learning by Aileen Nielsen. Published by O’Reilly Media. English | 504 pages | EPUB | ISBN: 1492041653
Description
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.
What will you learn
- Find and wrangle time series data
- Undertake exploratory time series data analysis
- Store temporal data
- Simulate time series data
- Generate and select features for a time series
- Measure error
- Forecast and classify time series with machine or deep learning
- Evaluate accuracy and performance