Mastering Time Series Analysis and Forecasting with Python
Language: English
Published by Orange Education Pvt Ltd, 2024
Series: Book 1 of 1 - Predictive Analytics Specialist (Python) — Focused Path
- Softcover
- New
Seller: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
AbeBooks seller since April 7, 2005
Condition: New
£ 36.91
Quantity: Over 20 available
Add to basketItem description from seller
Seller Inventory # L0-9788196815103
- Title
- Mastering Time Series Analysis and Forecasting with Python
- Author
- Aloorravi, Sulekha
- Publisher
- Orange Education Pvt Ltd
- Publication year
- 2024
- Condition
- New
- Binding
- PAP
- Language
- English
- ISBN 10
- 8196815107
- ISBN 13
- 9788196815103
- Item weight
- 604 grams
- Series
- Book 1 of 1: Predictive Analytics Specialist (Python) — Focused Path
Unlock expert guidance for mastering time series analysis and forecasting with Python. This book walks you through forecasting with Python using practical solutions for machine learning forecasting and deep learning forecasting—from building ARIMA, LSTM, and CNN models to applying feature engineering for time series data.
Book Description
"Mastering Time Series Analysis and Forecasting with Python" is an essential handbook tailored for those seeking to harness the power of time series data in their work.
The book begins with foundational concepts and seamlessly guides readers through Python libraries such as Pandas, NumPy, and Plotly for effective data manipulation, visualization, and exploration. Offering pragmatic insights, it enables adept visualization, pattern recognition, and anomaly detection.
Advanced discussions cover feature engineering and a spectrum of forecasting methodologies, including machine learning and deep learning techniques such as ARIMA, LSTM, and CNN. Additionally, the book covers multivariate and multiple time series forecasting, providing readers with a comprehensive understanding of advanced modeling techniques and their applications across diverse domains.
Readers develop expertise in crafting precise predictive models and addressing real-world complexities. Complete with illustrative examples, code snippets, and hands-on exercises, this manual empowers readers to excel, make informed decisions, and derive optimal value from time series data.
What You’ll Learn Inside:
- Step-by-step time series modeling in Python using multivariate and multiple time series forecasting projects
- Clear coverage of predictive modeling Python for real-world datasets, business applications, and anomaly detection
- Effective data visualization and exploratory analysis for time series to spot trends and patterns
- Comprehensive methods for model evaluation and validation for time series predictions and accuracy
- Hands-on time series forecasting projects using Python for business impact and actionable insights
- Advanced approaches for ARIMA, LSTM, and CNN time series models
- Explanation of anomaly detection and pattern recognition in time series using modern Python techniques
- Data analysts, students, and professionals wanting a comprehensive Python time series book for forecasting and data analysis
- Anyone interested in feature engineering Python, business forecasting, and working with real-world data analysis
- Teams needing practical guidance in multivariate time series modeling and advanced predictive analytics
- Authentic, accurate, and policy-compliant content—no unauthorized names, brands, or characters
- Content naturally optimized for Amazon search using established keywords for best ranking and conversion
- Easy-to-read, practical tone for learners and professionals at any level
Table of Contents
1. Introduction to Time Series
2. Overview of Time Series Libraries in Python
3. Visualization of Time Series Data
4. Exploratory Analysis of Time Series Data
5. Feature Engineering on Time Series
6. Time Series Forecasting – ML Approach Part 1
7. Time Series Forecasting – ML Approach Part 2
8. Time Series Forecasting - DL Approach
9. Multivariate Time Series, Metrics, and Validation
Index
"Synopsis" may belong to another edition of this title.
PBShop.store US
Wood Dale, IL, U.S.A.
AbeBooks seller since April 7, 2005
Shipping rates within U.S.A.
| Item | 7 to 14 business days | 7 to 14 business days |
|---|---|---|
| First item | £ 0.00 | £ 0.00 |
Payment methods
Store description
Specialty
Hardbacks, PaperbacksSeller's business information
Pbshop.co.uk Ltd
Unit 22 Horcott Industrial Estate, Horcott Road
Fairford, United Kingdom GL7 4BX
Terms of sale
Returns Policy
We ask all customers to contact us for authorisation should they wish to return their order. Orders returned without authorisation may not be credited.
If you wish to return, please contact us within 14 days of receiving your order to obtain authorisation.
Returns requested beyond this time will not be authorised.
Our team will provide full instructions on how to return your order and once received our returns department will process your refund.
Please note the cost to return any unwanted order to us is borne by the buyer.
Should your order arrive damaged, not as advertised or faulty, we must be advised of this within 14 days of delivery. Please contact us so we can find the best solution for you.
Our Customer Care Team can be contacted via emailing paperback-us@paperbackshop.co.uk, or by calling our UK Office on +441285 712 917. We are available 9:00am till 5:30pm GMT weekdays and 9:00am till 1:00pm GMT on Saturdays.
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 PBShop.store US, Springfield Gardens, New York, U.S.A., +44 1285 712917, 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
Books are shipped from our US or UK warehouses. Delivery estimates allow for delivery from either location.