Machine Learning, Uc Berkeley, Random Forest, Decision Tree, Ensemble Learning.
us describe the random forests approach more formally. Let’s say we are trying to predict home prices with 9 variables, such as size, location, square footage, proximity to schools, neighborhood characteristics, and the number of bedrooms. We can take our original data and generate several samples