Build ML models with scikit-learn.
Learn supervised and unsupervised learning.
Classification
from sklearn.ensemble import RandomForestClassifier
from sklearn.model_selection import train_test_split
X_train, X_test, y_train, y_test = train_test_split(X, y)
model = RandomForestClassifier()
model.fit(X_train, y_train)
accuracy = model.score(X_test, y_test)
Pipelines
from sklearn.pipeline import Pipeline
from sklearn.preprocessing import StandardScaler
pipeline = Pipeline([
(‘scaler’, StandardScaler()),
(‘classifier’, RandomForestClassifier())
])
Conclusion
scikit-learn makes ML accessible!