Supervised Learning is a type of machine learning where models learn from labeled training data to make predictions on new, unseen data.
Key Concepts
Classification
Regression
Feature Selection
Best Practices
Cross-Validation
Feature Engineering
Model Evaluation
Example
# Classification Example
from sklearn.ensemble import RandomForestClassifier
model = RandomForestClassifier()
model.fit(X_train, y_train)
predictions = model.predict(X_test)