Python

Build your first machine learning project with Python by turning a small dataset into a working prediction model, from data preparation and feature selection to training, evaluation, and saving the model.

Learn Python from the ground up with practical examples covering variables, data types, control flow, functions, collections, modules, exceptions, files, OOP, virtual environments, packages, testing, and real-world project structure.

Learn how Python virtual environments isolate project dependencies, how to create and activate a .venv, install packages with pip, manage dependencies, and avoid common environment problems.