This course is a sequel to my course “R, ggplot, and Simple Linear Regression”. Here we take on polynomial regression and learn how to fit polynomials to data sets. Along the way, we will learn how to write our own functions in R and how to graph them with ggplot. At the conclusion of the course, we will learn how to fit a smoothing spline to data sets.
At a relaxed pace, it should take about a week to complete the course. You will need to have R and RStudio installed, and it would be best if you have a background in R and ggplot equivalent to what you would get if you viewed my first course mentioned above.
What are the requirements?
- Students will need to have R and RStudio installed on their own computers.
- It will be best if students have the background one would get by viewing my course “R, ggplot, and Simple Linear Regression”.
What am I going to get from this course?
- Write functions in R.
- Graph functions with ggplot.
- Fit polynomials to data sets.
- Fit smoothing splines to data sets.
What is the target audience?
- This course is for those looking to learn more about R.
- This course is for those looking to learn more about ggplot.
- This course is for those looking to understand polynomial regression.
Get your Free Udemy Course on Polynomial Regression, R, and ggplot by clicking here.
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