xlisp/visualization-machine-learning

This project provides practical examples for machine learning tasks, from basic linear regression to more complex deep learning and reinforcement learning. It shows how to input raw data or generated data, apply different algorithms like neural networks or decision trees, and visualize the fitted curves or classifications. Data scientists, analysts, or researchers looking to understand and apply machine learning concepts to real-world data would find this useful.