Machine Learning Specialization

This beginner-friendly specialization by Andrew Ng provides a broad introduction to modern machine learning, including supervised learning (linear regression, logistic regression, neural networks, decision trees), unsupervised learning (clustering, anomaly detection), recommender systems, and reinforcement learning.

You'll build and train models in Python using NumPy and scikit-learn, and learn best practices from Silicon Valley for applying ML to real-world problems.