What is Scikit-learn and how can I get started with it?

What is Scikit-learn and how can I get started with it?

Scikit-learn is a powerful Python library for machine learning. It provides simple and efficient tools for data mining and data analysis. To get started, you can install it using pip and explore its documentation for tutorials.

What are some basic algorithms I can use with Scikit-learn?

Some basic algorithms include linear regression, decision trees, and k-nearest neighbors. Each has its own use cases and can be easily implemented using Scikit-learn.

Can you show me a simple example of using linear regression?

Sure! Here's a simple example:

from sklearn.linear_model import LinearRegression
import numpy as np

# Sample data
X = np.array([[1], [2], [3], [4]])
y = np.array([1, 2, 3, 4])

# Create a model and fit it
model = LinearRegression()
model.fit(X, y)

# Make a prediction
prediction = model.predict([[5]])
print(prediction)