Linear Regression And Correlation
Linear Regression and Correlation: A Beginner's Guide is a comprehensive book written by author Tomiwa Ademidun. This book provides a step-by-step guide for beginners to learn about linear regression and correlation. Linear regression and correlation are essential statistical tools that are commonly used in data analysis and machine learning. The book is available for purchase on Amazon.
Tomiwa Ademidun is a data scientist with years of experience in data analysis and machine learning. He has worked on various projects, including analyzing customer data to predict customer churn and developing predictive models for business forecasting. His expertise in data analysis and machine learning makes him the perfect author for this book.
The book begins with an introduction to linear regression and correlation, explaining the basic concepts and terms used in these statistical tools. The author provides clear and concise explanations of the different types of regression and correlation analysis, including simple linear regression, multiple linear regression, and correlation coefficient.
The book is designed for beginners who have little or no knowledge of linear regression and correlation. It is written in an easy-to-understand language, making it suitable for students, researchers, and professionals who want to learn about these statistical tools.
Among the best books on linear regression, Linear Regression and Correlation: A Beginner's Guide is an excellent resource for anyone interested in data analysis and machine learning. It provides a thorough introduction to linear regression and correlation, which are essential statistical tools for analyzing data and making predictions. With this book, beginners can learn how to use these tools to analyze data and make predictions with confidence.
Author: Scott Hartshorn
Link to buy: https://www.amazon.com/Linear-Regression-Correlation-Beginners-Guide-ebook/dp/B071JXYDDB/
Ratings: 4.5 out of 5 stars (from 148 reviews)
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