A. To apply machine learning algorithms, first, define the problem and collect relevant data. Preprocess the data (cleaning, normalization), choose an appropriate algorithm based on the task (classification, regression, etc.), train the model on the dataset, and finally evaluate its performance using metrics like accuracy or F1-score.