Kaggle

Few places let you go from finding a dataset to training a model on a GPU without paying anything, and Kaggle has offered exactly that for years. Its real value is the community: thousands of public notebooks show how other people approached the same data, which turns the site into a practical classroom as much as a tool. Under Google's ownership it has also become a venue for evaluating AI models through public benchmarks.

• Cloud notebooks with popular libraries preinstalled and free weekly GPU and TPU time
• A searchable library of public datasets that anyone can version and share
• A model hub with ready to use weights from major labs, including Google's Gemma family
• Competitions with prize pools that mirror real industry problems
• Free micro courses on Python, data cleaning, machine learning and more

Kaggle is best for students, aspiring data scientists and practitioners who want real data and free compute for learning, prototyping or building a portfolio. Experienced researchers also use it to benchmark ideas against strong peers. A practical tip: before starting a competition or project, read the top public notebooks and discussion threads, since they often reveal data quirks and baseline approaches that save days of work.