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Home > Machine Learning for Time-Series with Python: Forecast, predict, and detect anomalies with state-of-the-art machine learning methods

Machine Learning for Time-Series with Python: Forecast, predict, and detect anomalies with state-of-the-art machine learning methods


Book Informaton

Machine Learning for Time-Series with Python: Forecast, predict, and detect anomalies with state-of-the-art machine learning methods

Author

Ben Auffarth

Year of Publication

2021

Publisher

Packt Publishing - ebooks Account

Language

en

ISBN

1801819629, 9781801819626

ARI Id

1673452673793


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Showing 1 to 20 of 136 entries
Chapters/HeadingsAuthor(s)PagesInfo
Chapter 1: Introduction to Time Series with Python
What Is a Time Series?
Characteristics of Time Series
Time Series and Forecasting – Past and Present
Demography
Genetics
Astronomy
Economics
Meteorology
Medicine
Applied Statistics
Python for Time Series
Installing libraries
Jupyter Notebook and JupyterLab
NumPy
pandas
Best practice in Python
Summary
Chapter 2: Time-Series Analysis with Python
What is time series analysis?
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 136 entries
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