Which tool did you enjoy working with the most?

Among the tools for working with machine learning and artificial intelligence, I especially like to use Jupyter Notebook together with Python libraries such as scikit-learn, TensorFlow, and PyTorch.

Jupyter allows for interactive experimentation with data and models, quick visualization of results, and documentation of the process. This is very convenient for prototyping and learning.

I also value tools for automation and experiment management, such as MLflow or Weights & Biases, which help track parameters, metrics, and model versions in projects with a large number of experiments.