Examples
https://scikit-learn.org/stable/auto_examples/applications/index.html
Focus: Sci-kit Learn is a simple and efficient tool for data mining and data analysis, built on NumPy, SciPy, and matplotlib. It is primarily used for traditional machine learning techniques such as classification, regression, clustering, and dimensionality reduction.
Limitations: While excellent for classical machine learning tasks, Sci-kit Learn is not designed for deep learning or neural network architectures, which require more specialized frameworks like TensorFlow or PyTorch.