Supervised Learning In supervised learning, the model is trained on labeled data (data where the correct output is known). The goal is to learn a mapping from input data to the correct output. Example: Predicting house prices based on features like square footage, location, and number of rooms. Common algorithms: Linear Regression, Decision Trees, Support Vector Machines (SVM), k... https://austratech.com.au/services.html