In this article, we will discuss the implementation of Polynomial Regression using Turicreate. Polynomial Regression: Polynomial regression is a form of regression analysis that models the relationship between a dependent say y and an independent variable say x as a nth degree polynomial. It is expressed as :
y= b0+b1x1+ b2x12+ b2x13+…… bnx1n
[where b0, b1, b2, …… bn are regression coefficients]
So let’s learn this concept through practicals.
Step 1: Import the important libraries and generate a very small data set using SArray and SFrame in turicreate that we are going to use to perform Polynomial Regression.
Step 2: Plotting the generated data
Step 3: Create an SFrame containing the input, its polynomial_degrees, and the output in order to fit our regression model.
Step 4: Fitting Polynomial Regression to the generated Data set.
Step 5: Predicting the result using the fitted model and storing the result in the SFrame.
Step 6: Measuring the accuracy of our predicted result
Step 7: Visualizing the Polynomial Regression results using scatter plot and line plot of the input data and the predicted result.
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