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Machine learning foundations

How ML works: concepts, task types and models — no heavy math.

Course program

Module 1

What ML is

1What machine learning isFree2Data, features and modelsFree3Types of machine learning tasks🔒
Module 2

Supervised learning

4Supervised learning: how it works🔒5Classification: predict a category🔒6Regression: predict a number🔒7Popular models in simple words🔒
Module 3

Unsupervised

8Unsupervised learning: clustering🔒9Anomalies and dimensionality reduction🔒
Module 4

Model evaluation

10Overfitting: the main ML trap🔒11Model evaluation: train, test, metrics🔒12Metrics, limitations and responsibility🔒