Laplace smoothing works by adding a small constant (usually 1) to each count in the dataset. For example, if you have a dataset that records the number of individuals with a certain disease, and some age groups have zero cases, Laplace smoothing would add 1 to each count. This adjusted count is then used to calculate the probabilities, ensuring that no probability is ever zero.
