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Linear Regression with coding examples in R: The basics

Linear Regression with coding examples in R: The basics

by Robert Collins


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This book is an exploration of linear regression technique used for data analysis. The author helps you know how to analyze your data with linear regression algorithm. The various measures used to determine the accuracy of linear regression models have been discussed. The author helps you know how to create a linear regression equation or model mathematically from a dataset. You will also know how to use such to make predictions. The various methods for linear regression have been discussed in detail. The process of implementing linear regression models in R programming language has been discussed. The author also helps you know how to use such models to make predictions.

  • What is Linear Regression?
  • Simple Linear Regression
  • Gradient Descent
  • Linear Regression with R
  • Ordinary Least Squares Regression
  • Stepwise Linear Regression
  • Principal Component Regression
  • Partial Least Squares Regression

Tags: linear programming, linear regression r, linear regression book, linear regression models, linear regression analysis, linear regression machine learning, linear regression a mathematical introduction, linear programming project, linear algebra.

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Product Details

ISBN-13: 9781723274329
Publisher: CreateSpace Publishing
Publication date: 09/13/2018
Pages: 62
Product dimensions: 6.00(w) x 9.00(h) x 0.13(d)

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