Question

How do you perform Linear Regression in Python?

Answer 1

You can perform Linear Regression in Python using libraries like NumPy and scikit-learn. 

Here's an example:

import numpy as np
from sklearn.linear_model import LinearRegression

# Sample data
X = np.array([1, 2, 3, 4, 5]).reshape(-1, 1)  # Independent variable
y = np.array([2, 4, 5, 4, 5])  # Dependent variable

# Create a LinearRegression model
model = LinearRegression()

# Fit the model to the data
model.fit(X, y)

# Predict using the model
new_X = np.array([6]).reshape(-1, 1)
predicted_y = model.predict(new_X)
print(predicted_y)  # Output: [6.2]