Building Statistical Models in Python: Develop useful models for regression, classification, time series, and survival analysis
暫譯: 在 Python 中建立統計模型:開發有用的回歸、分類、時間序列和生存分析模型

Nguyen, Huy Hoang, Adams, Paul N., Miller, Stuart J.

  • 出版商: Packt Publishing
  • 出版日期: 2023-08-30
  • 售價: $1,860
  • 貴賓價: 9.5$1,767
  • 語言: 英文
  • 頁數: 420
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1804614289
  • ISBN-13: 9781804614280
  • 相關分類: Python程式語言
  • 立即出貨 (庫存=1)

商品描述

Make data-driven, informed decisions and enhance your statistical expertise in Python by turning raw data into meaningful insights

Purchase of the print or Kindle book includes a free PDF eBook


Key Features:


  • Gain expertise in identifying and modeling patterns that generate success
  • Explore the concepts with Python using important libraries such as stats models
  • Learn how to build models on real-world data sets and find solutions to practical challenges


Book Description:


The ability to proficiently perform statistical modeling is a fundamental skill for data scientists and essential for businesses reliant on data insights. Building Statistical Models with Python is a comprehensive guide that will empower you to leverage mathematical and statistical principles in data assessment, understanding, and inference generation.


This book not only equips you with skills to navigate the complexities of statistical modeling, but also provides practical guidance for immediate implementation through illustrative examples. Through emphasis on application and code examples, you'll understand the concepts while gaining hands-on experience. With the help of Python and its essential libraries, you'll explore key statistical models, including hypothesis testing, regression, time series analysis, classification, and more.


By the end of this book, you'll gain fluency in statistical modeling while harnessing the full potential of Python's rich ecosystem for data analysis.


What You Will Learn:


  • Explore the use of statistics to make decisions under uncertainty
  • Answer questions about data using hypothesis tests
  • Understand the difference between regression and classification models
  • Build models with stats models in Python
  • Analyze time series data and provide forecasts
  • Discover Survival Analysis and the problems it can solve


Who this book is for:


If you are looking to get started with building statistical models for your data sets, this book is for you! Building Statistical Models in Python bridges the gap between statistical theory and practical application of Python. Since you'll take a comprehensive journey through theory and application, no previous knowledge of statistics is required, but some experience with Python will be useful.

商品描述(中文翻譯)

透過將原始數據轉化為有意義的見解,做出數據驅動的明智決策,並提升您在 Python 中的統計專業知識

購買印刷版或 Kindle 版書籍可獲得免費 PDF 電子書


主要特色:



  • 獲得識別和建模成功模式的專業知識

  • 使用重要的庫(如 stats models)探索 Python 中的概念

  • 學習如何在真實世界數據集上建立模型並找到實際挑戰的解決方案


書籍描述:


熟練執行統計建模的能力是數據科學家的基本技能,對依賴數據見解的企業至關重要。《使用 Python 建立統計模型》是一本全面的指南,將使您能夠在數據評估、理解和推論生成中利用數學和統計原則。


本書不僅為您提供導航統計建模複雜性的技能,還通過插圖示例提供實用指導以便立即實施。通過強調應用和代碼示例,您將在獲得實踐經驗的同時理解這些概念。在 Python 及其基本庫的幫助下,您將探索關鍵的統計模型,包括假設檢驗、回歸、時間序列分析、分類等。


在本書結束時,您將流利地掌握統計建模,同時充分利用 Python 豐富的數據分析生態系統。


您將學到什麼:



  • 探索在不確定性下使用統計做出決策

  • 使用假設檢驗回答有關數據的問題

  • 理解回歸模型和分類模型之間的區別

  • 在 Python 中使用 stats models 建立模型

  • 分析時間序列數據並提供預測

  • 發現生存分析及其能解決的問題


本書適合誰:


如果您希望開始為您的數據集建立統計模型,本書就是為您而寫!《使用 Python 建立統計模型》彌合了統計理論與 Python 實際應用之間的鴻溝。由於您將全面探索理論和應用,因此不需要先前的統計知識,但對 Python 有一些經驗將會有幫助。