polynomial regression python code from scratch

Certainly! Polynomial regression is a type of regression analysis where the relationship between the independent variable
x and the dependent variable
y is modeled as an
n-th degree polynomial. In this tutorial, we'll implement polynomial regression in Python from scratch using NumPy and Matplotlib.
Let's create some sample data to demonstrate polynomial regression.
We will implement a function for polynomial regression. This function will take the degree of the polynomial as an argument and fit the data accordingly.
After obtaining the coefficients, we can use them to make predictions.
Let's visualize the original data and the polynomial regression model.
Now, let's use the functions we've defined to perform polynomial regression.
Feel free to experiment with different degrees for the polynomial to see how well the model fits the data. Keep in mind that higher-degree polynomials may lead to overfitting, so it's essential to strike a balance betwee
ChatGPT