Linear Regression

Linear Regression

Here’s what ChatGPT had to say about Linear Regression:

#Beginning

Let’s take a look at this simple code:

from sklearn.linear_model import LinearRegression
import numpy as np

# Input training data
x_train = np.array([[1], [2], [3], [4], [5]])
y_train = np.array([[1], [2], [3], [4], [5]])

# Train the model
reg = LinearRegression().fit(x_train, y_train)

# Predict output for test data
x_test = np.array([[6],[7]])
y_pred = reg.predict(x_test)

print("Prediction:", y_pred)

This code trains a linear regression model on a simple 1-dimensional training data set, x_train and y_train, and then uses the trained model to make a prediction for a few test data points x_test.

Output:

[[6.]
[7.]]