Python Data Science Essentials

Become an efficient data science practitioner by thoroughly understanding the key concepts of Python

About This Book

• Quickly get familiar with data science using Python
• Save tons of time through this reference book with all the essential tools illustrated and explained
• Create effective data science projects and avoid common pitfalls with the help of examples and hints dictated by experience

Who This Book Is For

If you are an aspiring data scientist and you have at least a working knowledge of data analysis and Python, this book will get you started in data science. Data analysts with experience of R or MATLAB will also find the book to be a comprehensive reference to enhance their data manipulation and machine learning skills.

In Detail

The book starts by introducing you to setting up your essential data science toolbox. Then it will guide you across all the data munging and preprocessing phases. This will be done in a manner that explains all the core data science activities related to loading data, transforming and fixing it for analysis, as well as exploring and processing it. Finally, it will complete the overview by presenting you with the main machine learning algorithms, the graph analysis technicalities, and all the visualization instruments that can make your life easier in presenting your results.

In this walkthrough, structured as a data science project, you will always be accompanied by clear code and simplified examples to help you understand the underlying mechanics and real-world datasets.

成為一位高效的資料科學從業者，通過深入理解Python的關鍵概念。

關於本書
- 快速熟悉使用Python進行資料科學
- 透過這本參考書節省大量時間，其中包含了所有必要的工具的圖解和解釋
- 通過實例和經驗提示，創建有效的資料科學專案，避免常見的問題

本書適合對資料分析和Python有一定工作知識的有志於成為資料科學家的人。有R或MATLAB經驗的資料分析師也可以將本書作為全面參考，以提升他們的資料操作和機器學習技能。

詳細內容
本書首先介紹如何設置必要的資料科學工具。然後，它將引導您完成所有的資料整理和預處理階段。這將以一種解釋所有與載入資料、轉換和修復資料以進行分析以及探索和處理資料相關的核心資料科學活動的方式進行。最後，它將通過介紹主要的機器學習算法、圖形分析技術和所有能夠使您在呈現結果時更輕鬆的視覺化工具來完成概述。

在這個結構化為資料科學專案的實例中，您將始終伴隨著清晰的代碼和簡化的示例，以幫助您理解底層機制和真實世界的資料集。