- Home Page /
- Books /
- Computing & Internet /
- Databases /
- Data Storage & Management /
- Data Mining /
- Time Series Forecasting in Python Paperback –...
Item #:
123736949
Time Series Forecasting in Python Paperback – 10 Nov. 2022
87% of respondents would recommend this to a friend
Item #:
123736949
RON 323
Price Details
Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )
*All items will import from UK
0 ratings
Write a review
In stock
Imported from UK store
QTY:
Order now and get it around Monday, October 12
Secured transaction
Ubuy works hard to protect your security and privacy. Our advanced payment security system ensures confidentiality by encrypting your information during transmission using AES (Advanced Encryption Standards) and SSL (Secure Socket Layer) protocols. Your payment details are 100% secure as we do not share your payment details with third party sellers.
Our Top Logistics Partners
Build predictive models from time-based patterns in your data.
Fast
Shipping
Free
Return*
Secure Packaging
100% Original Products
PCI DSS Compliance
ISO 27001 Certified
What Stands Out
Comprehensive Guide
This book offers an in-depth exploration of time series forecasting methods, making it suitable for both beginners and experienced practitioners seeking to enhance their Python skills.
Practical Applications
Includes real-world examples and use cases, allowing readers to directly apply theoretical knowledge to practical scenarios in various industries.
Latest Techniques
Covers the most up-to-date forecasting techniques and tools in Python, ensuring readers are equipped with current knowledge and practices in data science.
Product Details
| Publisher | Manning Publications |
| Publication date | 10 Nov. 2022 |
| Edition | 1st |
| Language | English |
| Print length | 456 pages |
| ISBN-10 | 161729988X |
| ISBN-13 | 978-1617299889 |
| Item weight | 703 g |
| Dimensions | 18.75 x 2.9 x 23.5 cm |
Who Should Buy?
-
Data Analysts
Ideal for data analysts seeking to enhance their forecasting skills using Python libraries and methods.
-
Students
Students studying statistics or data science, requiring a structured introduction to time series analysis in Python.
-
Business Professionals
Business professionals who want to leverage predictive analytics to improve decision-making and strategic planning.
-
Beginner Programmers
Not suitable for beginners unfamiliar with Python programming and statistical concepts, as prerequisites may overwhelm.
Product Description
Time Series Forecasting in Python Paperback – 10 Nov. 2022
Have any Query? Chat with us
Customer Questions & Answers
-
Question:
How to Shop Time Series Forecasting in Python Paperback – 10 N Online From Ubuy?
Answer: It’s easy to shop Time Series Forecasting in Python Paperback – 10 N online from Ubuy. You just have to search for the product, choose your shipping method while checking out and get it delivered to your location. -
Question:
Is Time Series Forecasting in Python Paperback – 10 N Available to Shop Online in Romania?
Answer: Yes, at Ubuy Romania this product is available for you to shop at a reasonable price. The Time Series Forecasting in Python Paperback – 10 N is not available locally but you can trust us with our express shipping services. -
Question:
How Long Does It Take to Get Product After Placing the Order?
Answer: The delivery time of your ordered product varies as per what you've ordered and the shipping method that you've chosen. The estimated delivery time is mentioned during the checkout process, so be carefree while shopping.
Data Mining Editorial Review
"Time Series Forecasting in Python" has received high praise from customers for its clear and comprehensive approach to introducing the often complex subject of time series forecasting. Reviewers frequently mention that it serves as an excellent starting point for beginners, offering a structured journey from basic concepts to more advanced techniques. The explanations are notably precise, with an almost line-by-line breakdown of Python code, which helps readers grasp the material easily. This clarity is highlighted as a significant strength, allowing for a smoother learning curve without overwhelming the reader. Furthermore, the book incorporates the latest developments in applying machine learning to time series forecasting, alongside classical methods in Python. This combination provides a well-rounded introduction to both contemporary and foundational techniques. Many readers expressed satisfaction with the flow of the content, specifically noting that the author gradually increases complexity, making it accessible for those without a strong background in data science or programming. However, some feedback pointed out that the transition to machine learning concepts occurs rather quickly, which may pose a challenge for certain readers. Despite this minor critique, the overall sentiment leans positively, with many customers feeling encouraged to pursue further learning, particularly in TensorFlow, as a result of their exposure to the material in this book. **
Customer Reviews & Ratings
1 customers ratings
-
5 Star
100%
-
4 Star
0%
-
3 Star
0%
-
2 Star
0%
-
1 Star
0%
Review this product
Share your thoughts with other customers
Pros
- Clear and comprehensive explanations, making it beginner-friendly.
- Gradually increasing complexity that helps in understanding.
- Detailed breakdown of Python code for practical application.
- Covers both classical methods and contemporary machine learning approaches.
Cons
- Some readers feel the transition to machine learning is too abrupt.
Product Price History
Important information
- Limitations : For products shipped internationally, please note that any manufacturer warranty may not be valid; manufacturer service options may not be available; product manuals, instructions, and safety warnings may not be in destination country languages; the products (and accompanying materials) may not be designed in accordance with destination country standards, specifications, and labeling requirements; and the products may not conform to destination country voltage and other electrical standards (requiring use of an adapter or converter if appropriate). The recipient is responsible for assuring that the product can be lawfully imported to the destination country. When ordering from Ubuy or its affiliates, the recipient is the importer of record and must comply with all laws and regulations of the destination country.
- Not all the products listed on Ubuy are for sale, as Ubuy is a global search engine. Products are subject to export/trade regulations.
RON 323
Order now and get it around Monday, October 12
This item is not restrict in my country.(Please click on above link if this item is not restrict in your country, So our team will review and allow.)
QTY:
Secured transaction
PCI DSS compliant and ISO 27001:2022 certified, with encrypted payments and full buyer protection on every order.
Our Top Logistics Partners
Fastest cross-border delivery
Features & Benefits
- Create models that capture seasonal effects and external variables.
- Utilize multivariate forecasting to predict multiple time series effectively.
- Employ deep learning techniques for large datasets using Python.
- Automate your forecasting process for efficiency and accuracy.
- Access immediately applicable concepts that deliver real results.
- Written for data scientists looking to elevate their skills from R to Python.
Ubuy Assurance
Experience worry-free shopping with 100% original products, PCI DSS-compliant payment security, ISO 27001-certified data protection, the fastest cross-border delivery, free returns *, and secure packaging on every order.