Introduction to supervised learning setup 3.2 Regression and Classification

Sure! “Introduction to supervised learning setup 3.2 Regression and Classification” is all about teaching computers how to make predictions based on data they are given. Regression is when we want the computer to predict a number, like how much a house will sell for based on its size and location. Classification is when we want the computer to predict a category, like whether an email is spam or not based on its content. An example of regression could be predicting how tall a plant will grow based on how much sunlight it receives each day. An example of classification could be predicting whether a fruit is an apple or an orange based on its color and size. One verifiable fact is that supervised learning is a type of machine learning where the computer is given labeled data to learn from, so it knows the correct answers as it learns. I hope this helps you understand the topic! Let me know if you have any more questions.