This short 5-part course provides a review of math topics for machine learning (linear algebra and statistics). It also teaches the Python NumPy library, which is used to handle vector and matrices in Python.

Mathematics review (Linear Algebra and Statistics)

• Linear Algebra: Vectors, Matrices and their properties
• Statistics: Central Tendency metrics, Dispersion and Correlation
• Quiz: Linear Algebra and Statistics

Python NumPy library

• Introduction to NumPy
• Hands-on Assignment: Data Exploration with NumPy