Description: Are you looking to learn more about Time Series, but struggling to find them in traditional Data Science textbooks? This book is your answer. Time Series is an exciting and important part of Data Analysis. Time Series Data is more readily available than most forms of data and answers questions that cross-sectional data struggle to do. It also has more real world application in the prediction of future events. However it is not generally found in a traditional data science toolkit. There is also limited centralized resources on the applications of Time Series, especially using traditional programming languages such as Python. This book solves all these problems, and more. It starts off with basic concepts in Time Series, and switches to more advanced topics. It shows you how to set up Python from start, and goes through over 20 examples of applying both simple and advanced Time Series concepts with Python code.
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EAN: 9780648783077
UPC: 9780648783077
ISBN: 9780648783077
MPN: N/A
Book Title: Time Series with Python: How to Implement Time Ser
Item Length: 21 cm
Publisher: Bob Mather
Item Height: 210 mm
Subject: Computer Science, Mathematics
Publication Year: 2020
Number of Pages: 222 Pages
Publication Name: Time Series with Python: How to Implement Time Series Analysis and Forecasting Using Python
Language: English
Type: Textbook
Item Weight: 417 g
Author: Bob Mather
Item Width: 148 mm
Format: Hardcover
