Supervised and unsupervised learning: understanding the target
Learn how a known target guides supervised learning, how unsupervised learning explores structure, and why a column’s role depends on your question.
Free learning path· Learn at your own pace
Free learning path· Learn at your own pace
Learn how a known target guides supervised learning, how unsupervised learning explores structure, and why a column’s role depends on your question.
Learn Python basics through 11 concepts: variables, strings, lists, dictionaries, conditions, loops and functions, with a notebook and a solved exercise.
Set up a Python project on Windows with uv, configure VS Code and Jupyter, then check the notebook’s kernel and library versions.
Understand AI, machine learning, deep learning and generative AI through one concrete problem, then follow the steps from training a model to using it in an application.
The course links to get started. Then a short summary with every new article, so you can choose what to explore next.
Artificial intelligence, step by step: from model to web application.