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Statistical Learning Methods

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发表于 2024-9-22 18:19:35 | 显示全部楼层 |阅读模式
本帖最后由 shaownislam825 于 2024-9-22 18:26 编辑

OK, I'm happy to recommend some books on data analysis. There are many kinds of books on data analysis. In order to recommend more accurately, please tell me: What is your foundation in data analysis? Are you a beginner or do you have a certain foundation? Which direction do you want to learn in depth? Data cleaning, statistical analysis, data visualization, machine learning, etc.? What style of books do you prefer? Theory-oriented, practical, case-driven, or a combination of multiple styles? Before that, I recommend some well-received books for your reference: Entry-level Statistics in Simple Language: This book explains the basic concepts and methods of statistics in easy-to-understand language and a large number of charts , which is very suitable for beginners.


Opens in a new window m.douban.com Statistics in Simple Language: Python Data Analysis Basic Tutorial: This book uses Python language as a tool to systematically introduce the entire process of data analysis, including data acquisition, cleaning, analysis and visualization. Opens in a new windowPython Data Analysis Basic Tutorial Advanced : This book is a classic work by Li Hang. Phone Number It systematically introduces various algorithms of statistical learning methods. It is theoretically strong and suitable for readers with a certain foundation to learn in depth. Opens in a new windowStatistical Learning Methods Data Mining: Concepts and Techniques: This book is a classic textbook in the field of data mining. It comprehensively introduces various concepts, techniques and applications of data mining . Opens in a new window book.douban.com Data Mining: Concepts and Techniques Practical Data Analysis Using Python: This book is a bestseller in the field of data analysis. Through a large number of examples, it explains in detail how to use Python for data analysis.




Opens in a new windowData Analysis Using Python R Language Practice : This book is a classic textbook of R language. Through rich cases, it introduces the application of R language in data analysis. Opens in a new windowR Language Practice Others Data Science Practice: This book integrates all aspects of data science, from data acquisition to model deployment, and provides comprehensive guidance. The Beauty of Visualization: This book introduces various techniques and methods of data visualization to help readers create beautiful and informative charts. Tips: Choose a book that suits you: Choose a book that suits you according to your foundation and interests . Don't bite the hard bones right away, learn step by step. Do more hands-on practice: While reading books, do more hands-on practice to truly master the skills of data analysis.





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