Practical Linear Regression in R for Data Science in R

Practical Linear Regression in R for Data Science in R

What you’ll learn

  • Analyse and visualize data using Linear Regression
  • Learn different types of linear regressions (1-dimensional and multi-dimensional models, logistic regressions, ANOVA, etc)
  • Learn how to interpret and explain machine learning models
  • Plot the graph of results of Linear Regression to visually analyze the results
  • Assumptions of linear regression hypothesis testing
  • Do feature selection and transformations to fine tune machine learning models
  • Fully understand the basics of Machine Learning & Linear Regression Models from theory to practice
  • Learn how to deal with the categorical data in your regression modeling and correlation between variables
  • Learn the basics of R-programming

How to Enroll Practical Linear Regression in R for Data Science in R course?

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