Mastering Time Series Analysis and Forecasting with Python - Sulekha Aloorravi
-30% koodiga BOOKS
Saadetis 15-21 tööpäeva jooksul
30-päevane tagastamisõigus
Decode the language of time with Python. Discover powerful techniques to analyze, forecast, and innovate. 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, NumP ... Täielik kirjeldus
Võib-olla meeldib sulle ka
TOP
Gödel, Escher, Bach: An Eternal Golden Braid
-30% koodiga BOOKS
Meie tarnija laos
TOP
If Anyone Builds It, Everyone Dies: Why Superhuman AI Would Kill Us All
Eliezer Yudkowsky, Nate Soares
-30% koodiga BOOKS
Meie tarnija laos
TOP
AI Engineering: Building Applications with Foundation Models
-30% koodiga BOOKS
Meie tarnija laos
TOP
Empire of AI: Dreams and Nightmares in Sam Altman's OpenAI
-30% koodiga BOOKS
Meie tarnija laos
TOP
The Pragmatic Programmer: journey to mastery, 20th Anniversary Edition, 2/e: your journey to mastery, 20th Anniversary Edition
-30% koodiga BOOKS
Meie tarnija laos
TOP
The Rust Programming Language
Steve Klabnik, Carol Nichols, Chris Krycho
-30% koodiga BOOKS
Lõppenud
TOP
How To Think About AI: A Guide For The Perplexed
-30% koodiga BOOKS
Meie tarnija laos
TOP
Slanted 47 Digital Tools: Slanted Magazine
-30% koodiga BOOKS
Meie tarnija laos
TOP
The Web Application Hacker's Handbook: Discovering and Exploiting Security Flaws
-30% koodiga BOOKS
Meie tarnija laos
TOP
The Art of Game Design: A Book of Lenses
-30% koodiga BOOKS
Meie tarnija laos
TOP
How Linux Works: What Every Superuser Should Know
-30% koodiga BOOKS
Meie tarnija laos
TOP
Artificial Intelligence: A Modern Approach, Global Edition
-30% koodiga BOOKS
Meie tarnija laos
TOP
Python Crash Course: A Hands-On, Project-Based Introduction to Programming
-30% koodiga BOOKS
Meie tarnija laos
TOP
CompTIA Security+ Certification Kit: Exam SY0-701
-30% koodiga BOOKS
Meie tarnija laos
TOP
Fundamentals of Software Architecture: A Modern Engineering Approach
-30% koodiga BOOKS
Meie tarnija laos
TOP
Speak Data: Artists, Scientists, Thinkers, and Dreamers on How We Live Our Lives in Numbers
-30% koodiga BOOKS
Meie tarnija laos
TOP
Linux Basics for Hackers, 2nd Edition: Getting Started with Networking, Scripting, and Security in Kali
-30% koodiga BOOKS
Meie tarnija laos
TOP
HBR Guide to Generative AI for Managers
-30% koodiga BOOKS
Meie tarnija laos
Kirjeldus
Decode the language of time with Python. Discover powerful techniques to analyze, forecast, and innovate. 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. ¿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
Lisateave
| Autor | Sulekha Aloorravi |
|---|---|
| Kirjastaja | Orange Education Pvt Ltd |
| Väljalaskeaasta | 2024 |
| Kaanetüüp | Pehme kaanega |
| EAN | 9788196815103 |