MACHINE LEARNING

Supervised Learning

Train models that learn from labeled data to predict outcomes and classify information accurately.

~45 hours

Learning Objectives

Linear RegressionLogistic RegressionDecision TreesRandom ForestsSupport Vector Machines

Build and compare a logistic regression model and a random forest classifier to predict customer churn.

📖 Learn by Reading

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow

Aurélien Géron

An outstanding practical introduction to machine learning using Python's leading frameworks.

🎥 Learn by Watching

Supervised Machine Learning: Regression and Classification

Andrew Ng • Coursera • 33:00:00

The world's most famous machine learning course, covering regression, classification, and core supervised learning.