🧠 Machine Learning Fundamentals

Machine learning powers the world's most impactful technologies recommendation engines, fraud detection, medical diagnostics, and self-driving cars. This course teaches you how it actually works.

Starting from zero assumptions, you'll build genuine intuition for every major ML algorithm, implement them in Python, and complete real projects you can show employers or use in your own products.

The expanded curriculum includes applied modules on Probability, events, and conditional probability, Mean, variance, and robust summaries, Common distributions and sampling noise, Correlation versus causation in data, Cleaning missing and inconsistent values. Lessons pair formal models with worked examples, diagrams or traces, failure analysis, practice questions, and references for independent verification.