model training

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.

Follow a practical machine learning roadmap for 2026, covering Python, mathematics, data analysis, machine learning algorithms, deep learning, projects, deployment, and job-ready skills.

Learn what generative AI is, how it works, how models generate text, images, code, and other content, and how beginners can start learning and using generative AI.