Machine Learning Random Forest with Python from Scratch - Classification versus Regression

What is classification in the context of supervised machine learning?

How does a classifier predict the class of features?

Can you explain what regression outputs are?

What is the difference between classification and regression?

What are some common algorithms used in regression?

How can the random forest algorithm be used in both classification and regression?

What is clustering and how does it relate to unsupervised machine learning?