Time Series Analysis with Python Cookbook: Practical recipes for exploratory data analysis, data preparation, forecasting, and model evaluation
genuine image
Time Series Analysis with Python Cookbook: Practical recipes for exploratory data analysis, data preparation, forecasting, and model evaluation
This book covers practical techniques for working with time series data, starting with ingesting time series data from various sources and formats
Time Series Analysis with Python Cookbook: Practical recipes for exploratory data analysis, data preparation, forecasting, and model evaluation
Articol nr.: 58534803

Time Series Analysis with Python Cookbook: Practical recipes for exploratory data analysis, data preparation, forecasting, and model evaluation

Articol nr.: 58534803

MDL 1031

Price Details

Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )

*All items will import from SUA

În stoc
SUA Importat din USA

QTY:

Comandați acum și primiți Monday, August 03
Tranzacție SecurizatăTranzacție Securizată

Ubuy depune eforturi pentru a vă proteja securitatea și confidențialitatea. Sistemul nostru avansat de securitate a plăților asigură confidențialitatea prin criptarea informațiilor dvs. în timpul transmisiei folosind protocoalele AES (Advanced Encryption Standards) și SSL (Secure Socket Layer). Detaliile dvs. de plată sunt 100% sigure, deoarece nu partajăm datele dvs. de plată cu vânzători terți.

partenerii noștri principali de logistică
  • fedex
  • dhl
This book covers practical techniques for working with time series data, starting with ingesting time series data from various sources and formats
Garanție U-Care:
Niciunul
Selectați un plan
fast shipping

Fast
Shipping

free return

Retur
gratuit*

Ambalaj sigur

Ambalaj sigur

Produse originale 100%

Produse originale 100%

pci-dss

PCI DSS Compliance

iso certified

ISO 27001 Certified

paypal payment
visa payment
mastercard payment
qiwi wallet payment
Note: Step Down Voltage Transformer required for using electronics products of SUA store (110-120). Recommended power converters Cumpărați Acum.

Ce Iese în Evidență

Practical Recipes
Provides hands-on recipes for various time series tasks, making it easy for learners to grasp concepts quickly and apply them to real-world data problems.
Comprehensive Coverage
Covers exploratory data analysis, data preparation, forecasting, and model evaluation, offering a holistic approach to mastering time series analysis with Python.
User-Friendly Approach
Designed for beginners and intermediate users, ensuring accessible guidance while maintaining depth, promoting a better understanding of complex concepts in time series analysis.

Detalii produs

Shop Time Series Analysis with Python Cookbook: Practical recipes for exploratory data analysis, data preparation, forecasting, and model evaluation online at a best price in Moldova. 1801075549
Publisher Packt Publishing
Publication date June 30, 2022
Language English
Print length 630 pages
ISBN-10 1801075549
ISBN-13 978-1801075541
Item Weight 2.35 pounds (1.07 kg)
Dimensions 7.5 x 1.42 x 9.25 inches (19.1 x 3.6 x 23.5 cm)

Cine Ar Trebui să Cumpere?

Suitable For
  • Data Analysts

    Ideal for data analysts looking to enhance their time series analysis skills using Python tools and libraries.

  • Machine Learning Enthusiasts

    Beneficial for individuals seeking to integrate time series forecasting into their machine learning projects effectively.

  • Statisticians

    Great resource for statisticians needing practical recipes for exploratory data analysis and model evaluation in time series.

Not Suitable For
  • Beginner Programmers

    May overwhelm novice programmers unfamiliar with Python or time series concepts as it assumes prior knowledge.

DESCRIEREA PRODUSULUI

Time Series Analysis with Python Cookbook: Practical recipes for exploratory data analysis, data preparation, forecasting, and model evaluation

Aveți Întrebări? Discutați cu noi

Întrebări și răspunsuri ale clienților

  • întrebare: What is the main focus of the Time Series Analysis with Python Cookbook?

    Răspuns: The main focus of the Time Series Analysis with Python Cookbook is to provide practical recipes for conducting effective time series analysis using Python. This book encompasses essential topics such as exploratory data analysis, data preparation, forecasting techniques, and evaluation of models. It serves both beginners and experienced data analysts, offering a structured approach to tackle real-world problems in time series data, making it a valuable resource for anyone interested in data science or analytics.
  • întrebare: Who is the target audience for this cookbook?

    Răspuns: The Time Series Analysis with Python Cookbook targets a diverse audience, including data analysts, data scientists, and researchers who are looking to sharpen their skills in time series analysis. Both beginners new to Python and experienced practitioners will find practical insights and recipes that can be directly applied to their work. By including hands-on examples, the book caters to those interested in enhancing their knowledge in areas such as exploratory analysis and forecasting.
  • întrebare: What programming knowledge do I need to understand this book?

    Răspuns: A basic understanding of Python programming is essential to effectively utilize the Time Series Analysis with Python Cookbook. Familiarity with libraries such as Pandas, NumPy, and Matplotlib will also enhance your experience, as the book relies on these tools for carrying out analysis and visualization. Whether you are a novice programmer looking to explore data analysis or an experienced developer seeking specific applications in time series forecasting, this book offers a practical framework tailored to your needs.
  • întrebare: Can I use this book for advanced time series analysis techniques?

    Răspuns: Yes, the Time Series Analysis with Python Cookbook includes advanced techniques alongside foundational recipes. While it begins with essential concepts and straightforward methods for beginners, it progressively introduces more complex methods for handling time series data. Readers seeking to implement advanced models such as ARIMA, Seasonal Decomposition, or Exponential Smoothing will find applicable recipes that enhance their forecasting capabilities, making it a comprehensive resource for varied skill levels.
  • întrebare: What types of time series data can I analyze with this cookbook?

    Răspuns: The Time Series Analysis with Python Cookbook covers a wide range of time series data types, including financial data, weather data, sales figures, and any dataset that is indexed over time. Through various practical recipes, the book equips users with tools and techniques to explore, visualize, and model these datasets effectively. Ultimately, this versatility allows you to adapt the concepts learned to any field that relies on temporal data analysis, enhancing decision-making and forecasting precision.
  • întrebare: What makes this cookbook different from other data analysis books?

    Răspuns: This cookbook stands out from other data analysis books by emphasizing practical, hands-on recipes tailored specifically for time series analysis in Python. Unlike traditional textbooks that are heavy on theory, this book provides step-by-step instructions and real-world examples that facilitate immediate application of concepts. Its focused approach ensures that readers can efficiently tackle complex analyses, making it particularly useful for professionals looking for actionable insights rather than mere academic knowledge.
  • întrebare: Is there any prerequisite knowledge required to use this cookbook?

    Răspuns: While there are no strict prerequisites, a foundational knowledge of Python programming and basic statistical concepts will significantly enhance your comprehension of the Time Series Analysis with Python Cookbook. Familiarity with data manipulation libraries such as Pandas is beneficial, as many recipes utilize these functionalities. This book is designed to gradually guide readers into increasingly complex topics, so even those with minimal background can build their understanding effectively.
  • întrebare: Are there practical examples or case studies included in the cookbook?

    Răspuns: Absolutely! The Time Series Analysis with Python Cookbook is rich with practical examples and case studies that illustrate how to apply the recipes in real-world scenarios. Each chapter is designed to provide hands-on experiences that reinforce learning, allowing readers to see immediate applications of theoretical concepts. For instance, analyzing stock market trends or predicting weather patterns are examples included in the text, which can help deepen your understanding of time series analysis in practical contexts.
  • întrebare: What are the benefits of using Python for time series analysis?

    Răspuns: Using Python for time series analysis offers numerous advantages, including a rich ecosystem of libraries tailored for data manipulation, analysis, and visualization. Libraries such as Pandas and Statsmodels make it easier to handle complex datasets efficiently. Furthermore, Python's readability and flexibility allow users to experiment and iterate rapidly, potentially leading to better data-driven insights. Moreover, with comprehensive tools available, you can streamline your entire workflow from data cleaning to model deployment.
  • întrebare: Where can I buy Time Series Analysis with Python Cookbook in Moldova?

    Răspuns: You can buy Time Series Analysis with Python Cookbook at Ubuy, which offers a user-friendly shopping experience tailored to your needs. Ubuy provides access to a wide range of books, enabling you to easily locate and order the Time Series Analysis with Python Cookbook from the comfort of your home. Ubuy’s platform connects you with various product options, ensuring you find the right edition to help you with time series analytics.

Data Modeling & Design Editorial Review

Nu s-au găsit recenzii editoriale

Recenziile și evaluările clienților

4.0
1 evaluări ale clienților
  • 5 stele
    0%
  • 4 stele
    100%
  • 3 stele
    0%
  • 2 stele
    0%
  • 1 stele
    0%

Faceți o recenzie pentru acest produs

Spuneți-vă părerile și altor clienți

Platform Trust & Buyer Confidence

trustpilot logo
4.3/5 9200 + reviews
Read reviews
MA
Mohammad
Verified buyer

“Excellent quality and original too,when ubuy send original things I will appreciate that ,I very satisfied thank you”

23 July 2026 · via Trustpilot
CK
Chitra
Verified buyer

“The order and delivery progress was communicated very well. Package arrived within the estimated time. Products arrived as expected in good condition.”

22-Jul-26 · via Trustpilot
K
kund
Verified buyer

“Good supply of products. Safe payment methods, and shipment worldwide! Genuine products.”

23-Jul-26 · via Trustpilot
OO
Onesi
Verified buyer

“Was my first time buying a product from Ubuy, but I found it so helpful. This is reliable. Gonna place a new order!”

22 July 2026 · via Trustpilot
SJ
SAO JOHN
Verified buyer

“Ubuy is a great online platform to buy stuff. Reliable, fast delivery time and great value for money. I've been using Ubuy online shopping platform for three years now and will continue to do so.”

23 July 2026 · via Trustpilot
Checkout securizat Global Delivery Returnări Ușoare Genuine Products

Istoric de Preț al Produsului

Important

  • Limite: Pentru produsele expediate la nivel internațional, vă rugăm să rețineți că este posibil ca garanția producătorului să nu fie valabilă; este posibil ca opțiunile de service ale producătorului să nu fie disponibile; este posibil ca manualele, instrucțiunile și avertismentele de siguranță ale produsului să nu fie în limba țării de destinație; este posibil ca produsele (și materialele însoțitoare) să nu fie proiectate în conformitate cu standardele, specificațiile și cerințele privind etichetarea din țara de destinație; este posibil ca produsele să nu fie conforme cu voltajul și cu alte standarde electrice din țara de destinație (necesitând utilizarea unui adaptor sau convertor, dacă este cazul). Destinatarul este responsabil pentru asigurarea faptului că produsul poate fi importat legal în țara de destinație. Când comandați de pe Ubuy sau de la afiliații acestuia, destinatarul este importatorul înregistrat și trebuie să respecte toate legile și reglementările din țara de destinație
  • Nu toate produsele listate pe Ubuy sunt de vânzare, deoarece Ubuy este un motor de căutare global. Produsele sunt supuse reglementărilor privind exportul/comerțul.

MDL 1031

Comandați acum și primiți Monday, August 03

QTY:

Tranzacție SecurizatăTranzacție Securizată

PCI DSS compliant and ISO 27001:2022 certified, with encrypted payments and full buyer protection on every order.

partenerii noștri principali de logistică
  • fedex
  • dhl
Cea mai rapidă livrare transfrontalieră

Caracteristici și avantaje

  • Practical techniques for time series data analysis and forecasting
  • Strategies for handling missing data, time zones and anomalies
  • Use of different deep learning libraries
  • Forecast complex time series with multiple seasonal patterns

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.