Mastering Predictive Analytics with Python (Paperback)

Joseph Babcock

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商品描述

Exploit the power of data in your business by predicting probabilities and trends and creating advanced analytic solutions with Python

About This Book

  • Master the use of open source Python tools to build sophisticated predictive models
  • Learn to identify the right machine learning algorithm for your problem with this forward-thinking guide
  • Grasp the major methods of predictive modeling and move beyond black box thinking to a deeper level of understanding

Who This Book Is For

This book is designed for business analysts, BI analysts, data scientists, or junior level data analysts who are ready to move from a conceptual understanding of advanced analytics to an expert in designing and building advanced analytics solutions using Python. You're expected to have basic development experience with Python.

What You Will Learn

  • Gain an insight into components and design decisions for an analytical application
  • Master the use Python notebooks for exploratory data analysis and rapid prototyping
  • Get to grips with applying regression, classification, clustering, and deep learning algorithms
  • Discover the advanced methods to analyze structured and unstructured data
  • Find out how to deploy a machine learning model in a production environment
  • Visualize the performance of models and the insights they produce
  • Scale your solutions as your data grows using Python
  • Ensure the robustness of your analytic applications by mastering the best practices of predictive analysis

In Detail

The volume, diversity, and speed of data available has never been greater. Powerful machine learning methods can unlock the value in this information by finding complex relationships and unanticipated trends. Using the Python programming language, analysts can use these sophisticated methods to build scalable analytic applications to deliver insights that are of tremendous value to their organizations.

In Mastering Predictive Analytics with Python, you will work through a step-by-step process to turn raw data into powerful insights. Power-packed with case studies and code examples using popular open-source Python libraries, this volume illustrates the complete development process for analytic applications. The detailed examples illustrate robust and scalable applications for common use cases. You will learn to quickly apply these methods to your own data.

Covering a wide range of algorithms for classification, regression, clustering, and cutting-edge techniques such as deep learning, you will learn not only how these methods work, but how to implement them in practice. You will also gain the skill to choose the right approach for your problem. This guide also explains how to develop engaging visualizations from these algorithms, to bring the insights of predictive modeling to life for the analyst and their stakeholders.

商品描述(中文翻譯)

利用Python預測機率和趨勢,並創建高級分析解決方案,以發揮數據在您的業務中的力量。

關於本書

- 掌握使用開源Python工具構建複雜的預測模型
- 學習如何選擇適合您問題的機器學習算法
- 掌握預測建模的主要方法,超越黑盒思維,深入理解

本書適合對高級分析有概念性理解,並希望成為使用Python設計和構建高級分析解決方案的專家的業務分析師、BI分析師、數據科學家或初級數據分析師。您需要具備基本的Python開發經驗。

您將學到什麼

- 了解分析應用程序的組件和設計決策
- 掌握使用Python筆記本進行探索性數據分析和快速原型開發
- 掌握應用回歸、分類、聚類和深度學習算法
- 發現分析結構化和非結構化數據的高級方法
- 了解如何在生產環境中部署機器學習模型
- 可視化模型的性能和產生的洞察力
- 使用Python擴展您的解決方案,以應對數據增長
- 通過掌握預測分析的最佳實踐,確保分析應用程序的穩健性

詳細內容

數據的量、多樣性和速度從未如此之大。強大的機器學習方法可以通過發現複雜關係和意想不到的趨勢來揭示這些信息的價值。使用Python編程語言,分析師可以使用這些複雜方法構建可擴展的分析應用程序,為組織提供巨大價值的洞察力。

在《Python預測分析大師》中,您將逐步將原始數據轉化為強大的洞察力。本書使用流行的開源Python庫提供了豐富的案例研究和代碼示例,展示了分析應用程序的完整開發過程。詳細的示例展示了常見用例的強大且可擴展的應用程序。您將學習如何快速將這些方法應用於自己的數據。

本書涵蓋了廣泛的分類、回歸、聚類算法以及深度學習等尖端技術,您將不僅了解這些方法的工作原理,還將學習如何實踐它們。本指南還解釋了如何從這些算法中開發引人入勝的可視化效果,將預測建模的洞察力生動地展現給分析師和利益相關者。