Learning path

Machine Learning

How machines learn from data: your first models with scikit-learn, from train/test split to accuracy.

Start with lesson 1

1

Machine Learning Introduction

What machine learning really is, the three kinds of learning, features and labels, and the workflow every model follows.
3 min read
2

Your First Model: Linear Regression

Train a linear regression in scikit-learn to predict a number, read what it learned, and make predictions.
3 min read
3

Train/Test Split and Evaluating Models

Measure a model honestly on data it has never seen, read MAE and R², and spot overfitting.
3 min read
4

Classification: Predicting Categories

Predict yes/no answers with logistic regression and k-nearest neighbours, and judge them with accuracy and a confusion matrix.
3 min read
5

End-to-End Project: Classifying Flowers

Run a complete machine learning project on the classic Iris dataset with a decision tree: explore, train, evaluate and explain.
3 min read