Quick Tip: Python Machine Learning Quick Start

Quick Tip

Python machine learning quick start:

from sklearn.model_selection import train_test_split
from sklearn.linear_model import LinearRegression
from sklearn.metrics import mean_squared_error

# Prepare data
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2)

# Train model
model = LinearRegression()
model.fit(X_train, y_train)

# Predict
predictions = model.predict(X_test)

# Evaluate
mse = mean_squared_error(y_test, predictions)
print(f'MSE: {mse}')

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