🤖 Scikit-Learn Linear Regression
Linear Regression is the 'Hello World' of Machine Learning. Scikit-Learn makes it a breeze to implement.
💡 Quick Tip:
Mastering this concept will significantly boost your Python data science skills!
💻 Code Example:
from sklearn.linear_model import LinearRegression
import numpy as np
X = np.array([[1], [2], [3]])
y = np.array([2, 4, 6])
model = LinearRegression().fit(X, y)
print(model.predict([[4]]))
| Feature | Benefit |
|---|---|
| Efficiency | Optimized for performance |
| Simplicity | Easy to read and write |
Keep exploring and happy coding! 🚀