scikit-learn Exercises

Solidify scikit-learn skills through a curated collection of hands-on exercises and coding challenges. This section provides practical, real-world problems designed to test and improve proficiency in machine learning with Python. Each exercise focuses on applying core scikit-learn concepts, from data preprocessing and model selection to training and evaluation, enabling a deeper, more practical understanding of the library's capabilities.