Numerical Computing with Python: Harness the power of Python to analyze and find hidden patterns in the data
暫譯: 使用 Python 進行數值計算:利用 Python 的力量分析數據並發現隱藏的模式
Pratap Dangeti, Allen Yu, Claire Chung, Aldrin Yim, Theodore Petrou
- 出版商: Packt Publishing
- 出版日期: 2018-12-19
- 定價: $1,650
- 售價: 8.0 折 $1,320
- 語言: 英文
- 頁數: 805
- 裝訂: Paperback
- ISBN: 1789953634
- ISBN-13: 9781789953633
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相關分類:
Python、程式語言、Data-mining
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商品描述
Understand, explore, and effectively present data using the powerful data visualization techniques of Python
Key Features
- Use the power of Pandas and Matplotlib to easily solve data mining issues
- Understand the basics of statistics to build powerful predictive data models
- Grasp data mining concepts with helpful use-cases and examples
Book Description
Data mining, or parsing the data to extract useful insights, is a niche skill that can transform your career as a data scientist Python is a flexible programming language that is equipped with a strong suite of libraries and toolkits, and gives you the perfect platform to sift through your data and mine the insights you seek. This Learning Path is designed to familiarize you with the Python libraries and the underlying statistics that you need to get comfortable with data mining.
You will learn how to use Pandas, Python's popular library to analyze different kinds of data, and leverage the power of Matplotlib to generate appealing and impressive visualizations for the insights you have derived. You will also explore different machine learning techniques and statistics that enable you to build powerful predictive models.
By the end of this Learning Path, you will have the perfect foundation to take your data mining skills to the next level and set yourself on the path to become a sought-after data science professional.
This Learning Path includes content from the following Packt products:
- Statistics for Machine Learning by Pratap Dangeti
- Matplotlib 2.x By Example by Allen Yu, Claire Chung, Aldrin Yim
- Pandas Cookbook by Theodore Petrou
What you will learn
- Understand the statistical fundamentals to build data models
- Split data into independent groups
- Apply aggregations and transformations to each group
- Create impressive data visualizations
- Prepare your data and design models
- Clean up data to ease data analysis and visualization
- Create insightful visualizations with Matplotlib and Seaborn
- Customize the model to suit your own predictive goals
Who This Book Is For
If you want to learn how to use the many libraries of Python to extract impactful information from your data and present it as engaging visuals, then this is the ideal Learning Path for you. Some basic knowledge of Python is enough to get started with this Learning Path.
商品描述(中文翻譯)
理解、探索並有效地呈現數據,使用 Python 的強大數據視覺化技術
主要特點
- 利用 Pandas 和 Matplotlib 的強大功能輕鬆解決數據挖掘問題
- 理解統計學的基本概念,以建立強大的預測數據模型
- 透過有用的案例和範例掌握數據挖掘概念
書籍描述
數據挖掘,或解析數據以提取有用的見解,是一項可以改變你作為數據科學家職業生涯的專業技能。Python 是一種靈活的程式語言,擁有強大的庫和工具包,為你提供了完美的平台來篩選數據並挖掘所需的見解。本學習路徑旨在讓你熟悉 Python 庫及其背後的統計學,幫助你在數據挖掘方面變得更加自信。
你將學習如何使用 Pandas,這是 Python 中流行的數據分析庫,並利用 Matplotlib 的強大功能生成引人注目且令人印象深刻的視覺化,以展示你所獲得的見解。你還將探索不同的機器學習技術和統計學,這些技術使你能夠建立強大的預測模型。
在本學習路徑結束時,你將擁有完美的基礎,將你的數據挖掘技能提升到更高的水平,並為成為一名受人追捧的數據科學專業人士鋪平道路。
本學習路徑包含以下 Packt 產品的內容:
- Pratap Dangeti 的《機器學習統計學》
- Allen Yu、Claire Chung、Aldrin Yim 的《Matplotlib 2.x 實例解析》
- Theodore Petrou 的《Pandas 食譜》
你將學到什麼
- 理解統計學基礎以建立數據模型
- 將數據分割成獨立的組別
- 對每個組別應用聚合和轉換
- 創建令人印象深刻的數據視覺化
- 準備數據並設計模型
- 清理數據以便於數據分析和視覺化
- 使用 Matplotlib 和 Seaborn 創建有見地的視覺化
- 根據自己的預測目標自定義模型
本書適合誰
如果你想學習如何使用 Python 的多個庫從數據中提取有影響力的信息並將其呈現為引人入勝的視覺效果,那麼這是你理想的學習路徑。對 Python 的一些基本知識就足以開始這個學習路徑。