Nanotechnology involves the manipulation and control of matter on an atomic and molecular scale. This field generates a large amount of complex data that requires advanced computational techniques for analysis. Random forests are particularly useful in nanotechnology because they can handle high-dimensional datasets, manage missing values, and are less prone to overfitting, making them ideal for modeling intricate nanomaterials and nano-devices.
