Machine Learning Foundations: Math, Models and Intuition
Understand what models really do before you ever call fit().
Bestseller4.8(22,119 ratings)95,604 learners
Created by Dana Reyes · Last updated August 2026
What you'll learn
- Build linear and tree models from scratch
- Read the maths without fear
- Diagnose overfitting properly
- Choose metrics that match the problem
- Validate honestly
- Explain models to non-experts
Course content
4 sections · 168 lectures · 22 hours
- Welcome and how this machine learning course works04:12
- Setting up your workspace11:38
- Course resources and downloads02:50
Requirements
- High-school algebra
- Basic Python
Description
The course to take before a bootcamp. Concepts are built from the ground up with visual intuition first and code second.
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