- Домашняя страница /
- Книги /
- Science & Math /
- Mathematics /
- Applied /
- Probability & Statistics /
- Time Series Forecasting in Python
0 ratings
товар №:
89402933
Time Series Forecasting in Python
89% of respondents would recommend this to a friend
товар №:
89402933
KZT 42378
Price Details
Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )
*All items will import from США
0 ratings
Написать отзыв
В наличии
Импортировано из магазина USA
QTY:
Закажите сейчас и получите товар приблизительно Среда, Октябрь 14
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
Note: Step Down Voltage Transformer required for using electronics products of США store (110-120). Recommended power converters Купите сейчас.
What Stands Out
Comprehensive Toolkit
Offers a wide array of libraries and tools for effective time series analysis, including statistical models, machine learning techniques, and data visualization to enhance prediction accuracy and insights.
User-Friendly Libraries
Utilizes popular libraries like Pandas and StatsModels for streamlined data manipulation and forecasting, making it accessible for beginners while remaining powerful for expert analysts.
Community Support
Backed by a large community and extensive online resources, allowing users to find solutions, tutorials, and forums that enhance learning and troubleshooting during the forecasting process.
Информация о продукте
| Publisher | Manning Publications |
| Publication date | October 4, 2022 |
| Language | English |
| Print length | 456 pages |
| ISBN-10 | 161729988X |
| ISBN-13 | 978-1617299889 |
| Item Weight | 1.55 pounds (700 grams) |
| Dimensions | 7.38 x 1.14 x 9.25 inches (18.7 x 2.9 x 23.5 cm) |
Who Should Buy?
-
Data Scientists
Ideal for data scientists wanting to enhance their skills in time series analysis and prediction techniques.
-
Business Analysts
Beneficial for business analysts who need to predict trends and make data-driven decisions.
-
Students and Learners
Perfect for students learning data analysis and forecasting concepts using Python through practical applications.
-
Complete Beginners
Not suitable for those new to programming or Python, as foundational knowledge is assumed.
ОПИСАНИЕ ТОВАРА
Time Series Forecasting in Python
Есть вопрос? Пообщайтесь с нами в чате
Вопросы и ответы клиентов
-
вопрос:
Как покупать Time Series Forecasting in Python в Интернете на Ubuy?
отвечать: Купить Time Series Forecasting in Python онлайн на Ubuy очень просто.. Вам просто нужно найти товар, выбрать способ доставки при оформлении заказа и получить его до вашего места. -
вопрос:
Доступен ли Time Series Forecasting in Python для покупок в Интернете в Kazakhstan?
отвечать: Да, на Ubuy Kazakhstan вы можете купить этот товар по разумной цене.. Time Series Forecasting in Python недоступен на месте, но вы можете доверить нам наши услуги экспресс-доставки. -
вопрос:
Сколько времени занимает получение товара после размещения заказа?
отвечать: Время доставки заказанного вами товара зависит от того, что вы заказали, и выбранного вами способа доставки.. Ориентировочное время доставки указывается в процессе оформления заказа, так что будьте беззаботны при совершении покупок.
Probability & Statistics Editorial Review
In reviewing "Time Series Forecasting in Python," it's clear that customer experiences vary widely, reflecting both appreciation and disappointment with the book's content and structure. Many readers highlight its strengths, particularly its accessibility for beginners and clear explanations of complex concepts. The book skillfully guides readers from foundational principles to more advanced topics, making it particularly valuable for non-technical individuals. The integration of Python code with theoretical concepts is praised as it enhances understanding, allowing readers to grasp how to apply machine learning to time series forecasting effectively. However, some customers express significant issues with the book. A recurring critique is its failure to demonstrate how to forecast beyond the dataset at hand. Readers expect books on forecasting to teach future prediction methods, but many feel this book falls short in that regard. Additionally, criticisms have been raised about the apparent redundancy in the text, leading to perceptions of unnecessary length and a high price tag that some believe is not justified by the content provided. Overall, while the book offers a well-structured introduction to time series forecasting with Python that is beneficial for beginners, it may not meet the expectations of those looking to advance into future forecasting techniques. **
Customer Reviews & Ratings
1 оценки клиентов
-
5 звезда
100%
-
4 звезда
0%
-
3 звезда
0%
-
2 звезда
0%
-
1 звезда
0%
Оцените этот товар
Поделитесь своими впечатлениями
Плюсы
- Clear explanations, especially for Python code, beneficial for beginners.
- Covers a range of topics from basic to more sophisticated concepts effectively.
- Good for non-technical readers due to its non-mathematical approach.
- Unique structure that integrates concepts with practical Python examples.
Минусы
- Fails to demonstrate forecasting beyond available datasets.
Product Price History
Важная информация
- Ограничения: обратите внимание, что для товаров, поставляемых за границу, гарантия производителя может быть недействительной; обслуживание от производителя может быть недоступно; руководства по эксплуатации, а также инструкции и предупреждения о безопасности могут быть не на языках страны назначения; товары (и сопутствующие материалы) могут не быть разработаны в соответствии со стандартами, спецификациями и требованиями к маркировке страны назначения; товары также могут не соответствовать напряжению в стране назначения и другим электрическим стандартам (при необходимости требуется использование адаптера или преобразователя). Получатель несет ответственность за обеспечение законного ввоза товара в страну назначения. При заказе через Ubuy или его аффилированных лиц получатель является зарегистрированным импортером и должен соблюдать все законы и правила страны назначения.
- Не все товары на Ubuy выставлены на продажу, поскольку Ubuy — это глобальная поисковая система. На товары распространяются законы в области экспорта и торговли.
KZT 42378
Закажите сейчас и получите товар приблизительно Среда, Октябрь 14
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
Особенности и преимущества
- 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.