Statistical Learning Methods

shaownislam825

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.