Practical Time-Series Analysis

Practical Time-Series AnalysisPractical Time-Series Analysis
By 作者: Dr. Avishek Pal - Dr. PKS Prakash
ISBN-10 书号: 1788290224
ISBN-13 书号: 9781788290227
Release Finelybook 出版日期: 2017-12-06
Pages 页数: 284

Book Description to Finelybook sorting
Step by Step guide filled with real world practical examples.
About This Book
Get your first experience with data analysis with one of the most powerful types of analysis―time-series.
Find patterns in your data and predict the future pattern based on historical data.
Learn the statistics, theory, and implementation of Time-series methods using this example-rich guide
Who This Book Is For
This book is for anyone who wants to analyze data over time and/or frequency. A statistical background is necessary to quickly learn the analysis methods.
What You Will Learn
Understand the basic concepts of Time Series Analysis and appreciate its importance for the success of a data science project
Develop an understanding of loading, exploring, and visualizing time-series data
Explore auto-correlation and gain knowledge of statistical techniques to deal with non-stationarity time series
Take advantage of exponential smoothing to tackle noise in time series data
Learn how to use auto-regressive models to make predictions using time-series data
Build predictive models on time series using techniques based on auto-regressive moving averages
Discover recent advancements in deep learning to build accurate forecasting models for time series
Gain familiarity with the basics of Python as a powerful yet simple to write programming language
In Detail
Time Series Analysis allows us to analyze data which is generated over a period of time and has sequential interdependencies between the observations. This book describes special


Chapter 1. Introduction to Time Series
Chapter 2. Understanding Time Series Data
Chapter 3. Exponential Smoothing based Methods
Chapter 4. Auto-Regressive Models
Chapter 5. Deep Learning for Time Series Forecasting
Chapter 6. Getting Started with Python

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