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