Polynomial Regression

This module contains an implementation of Polynomial Regression, an extension of Linear Regression that models the relationship between the independent variable and the dependent variable as a polynomial.

Usage

To use Polynomial Regression, follow these steps:

1. Import the PolynomialRegression class.
2. Create an instance of the class, specifying the degree of the polynomial.
3. Fit the model to your training data using the fit method.
4. Make predictions using the predict method.

Example:

from PolynomialRegression import PolynomialRegression

poly_model = PolynomialRegression(degree=2)
poly_model.fit(X_train, y_train)
predictions = poly_model.predict(X_test)

Parameters

• degree: Degree of the polynomial.
• learning_rate: The step size for gradient descent.
• n_iterations: The number of iterations for gradient descent.

Installation

To use this module, make sure you have the required dependencies installed:

pip install numpy

Coded By

Avdhesh Varshney

Happy Coding 👦