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Polynomial Regression is an important first step in machine learning. There are very few to no tutorials on Polynomial Regression. What you have to do, is create a tutorial on what is polynomial regression, dive a little bit into the mathematics, so that it will strengthen your own understanding, as well as will enhance your tutorial.

After that, show how to make a random data-set generated by python, and then perform the same on the following data-set, which is the sample data of a company, position v/s salaries. Show the data-set on a plot, because visualising your data-set is a key part of machine learning, and then plot your regression line. Try not to over-fit your dataset, and write why over-fitting should be avoided.

With that, end your tutorial.

Writing this tutorial should give you plenty of experience on researching while writing a blog, and the mathematics and method behind Polynomial Regression, the basis of machine learning.