Practical Time Series Analysis: Master Time Series Data Processing, Visualization, and Modeling using Python
Dr. Avishek Pal,Dr. PKS Prakash
Language: English
Published by Packt Publishing 2017-09-28, 2017
- Softcover
- New
Seller: Chiron Media, Wallingford, United KingdomChiron Media
AbeBooks seller since August 2, 2010
Condition: New
£ 40.41
Quantity: 1 available
Add to basketSeller Inventory # 6666-GRD-9781788290227
- Title
- Practical Time Series Analysis: Master Time Series Data Processing, Visualization, and Modeling using Python
- Author
- Dr. Avishek Pal,Dr. PKS Prakash
- Publisher
- Packt Publishing 2017-09-28
- Publication year
- 2017
- Condition
- New
- Binding
- Paperback
- Language
- English
- ISBN 10
- 1788290224
- ISBN 13
- 9781788290227
Step by Step guide filled with real world practical examples.
Key Features
- 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
Book Description
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 mathematical tricks and techniques which are geared towards exploring the internal structures of time series data and generating powerful descriptive and predictive insights. Also, the book is full of real-life examples of time series and their analyses using cutting-edge solutions developed in Python.
The book starts with descriptive analysis to create insightful visualizations of internal structures such as trend, seasonality and autocorrelation. Next, the statistical methods of dealing with autocorrelation and non-stationary time series are described. This is followed by exponential smoothing to produce meaningful insights from noisy time series data. At this point, we shift focus towards predictive analysis and introduce autoregressive models such as ARMA and ARIMA for time series forecasting. Later, powerful deep learning methods are presented, to develop accurate forecasting models for complex time series, and under the availability of little domain knowledge. All the topics are illustrated with real-life problem scenarios and their solutions by best-practice implementations in Python.
The book concludes with the Appendix, with a brief discussion of programming and solving data science problems using Python.
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
"Synopsis" may belong to another edition of this title.
About the Author
"About the title" may belong to another edition of this title.
Chiron Media
Wallingford, United Kingdom
AbeBooks seller since August 2, 2010
Shipping rates from United Kingdom to U.S.A.
| Item | 14 to 21 business days | 14 to 21 business days |
|---|---|---|
| First item | £ 15.49 | £ 15.49 |
Payment methods
Seller's business information
WRAP Ltd
Unit 4, 119 Loverock Rd
Reading, United Kingdom RG30 1DZ
Terms of sale
TBA
Right of withdrawal
If you are a consumer you can withdraw from the contract in accordance with the following. Consumer means any natural person who is acting for purposes which are outside his trade, business, craft or profession.
Information regarding the right of withdrawal
Statutory right to withdraw
You have the right to withdraw from this contract within 14 days without giving any reason.
The withdrawal period will expire after 14 days from the day on which you acquire, or a third party other than the carrier and indicated by you acquires, physical possession of the last good or the last lot or piece.
To exercise the right of withdrawal, electronically fill in and submit a clear statement on our website, under "My Purchases" in "My Account". We will communicate to you an acknowledgement of receipt of such a withdrawal on a durable medium (e.g. by e-mail) without delay.
To meet the withdrawal deadline, it is sufficient for you to send your communication concerning your exercise of the right of withdrawal before the withdrawal period has expired.
Effects of withdrawal
If you withdraw from this contract, we will reimburse to you all payments received from you, including the costs of delivery (except for the supplementary costs arising if you chose a type of delivery other than the least expensive type of standard delivery offered by us).
We may make a deduction from the reimbursement for loss in value of any goods supplied, if the loss is the result of unnecessary handling by you.
We will make the reimbursement without undue delay, and not later than 14 days after the day on which we are informed about your decision to withdraw from this contract.
We will make the reimbursement using the same means of payment as you used for the initial transaction, unless you have expressly agreed otherwise; in any event, you will not incur any fees as a result of such reimbursement.
We may withhold reimbursement until we have received the goods back, or you have supplied evidence of having sent back the goods, whichever is the earliest.
You shall send back the goods or hand them over to Chiron Media, Wallingford, United Kingdom, without undue delay and in any event not later than 14 days from the day on which you communicate your withdrawal from this contract to us. The deadline is met if you send back the goods before the period of 14 days has expired. You will have to bear the direct cost of returning the goods. You are only liable for any diminished value of the goods resulting from the handling other than what is necessary to establish the nature, characteristics and functioning of the goods.
Exceptions to the right of withdrawal
The right of withdrawal does not apply to:
- The delivery of newspapers, journals or magazines with the exception of subscription contracts; and
- The supply of digital content which is not supplied on a tangible medium (e.g. on a CD or DVD) if you accepted when you placed your order that we could start to deliver it, and that you could not withdraw once delivery had started.
Shipping terms
Shipping costs are based on books weighing 2.2 LB, or 1 KG. If your book order is heavy or oversized, we may contact you to let you know extra shipping is required.