Machine Learning

 Machine Learning

Machine learning involves the use of algorithms and statistical models to enable computers to learn from data and make predictions or decisions. As a software engineer, you'll need to be familiar with machine learning frameworks like TensorFlow and scikit-learn, as well as techniques like supervised learning and unsupervised learning. Here's an example of a simple linear regression model implemented using scikit-learn in Python:

from sklearn.linear_model import LinearRegression

X = [[1], [2], [3], [4], [5]]

y = [2, 4, 6, 8, 10]

model = LinearRegression()

model.fit(X, y)

x_test = [[6], [7], [8]]

y_test = model.predict(x_test)

print(y_test)