Let’s take a look at how we can construct decision trees in Python.
A decision tree is a model used to solve classification and regression tasks. As we saw in our example for R, the model allows us to generate various outcomes using the model, allowing us to make a decision with the data.
Continue reading “Decision Trees with Python”
Decision trees are a highly useful visual aid in analysing a series of predicted outcomes for a particular model. As such, it is often used as a supplement (or even alternative to) regression analysis in determining how a series of explanatory variables will impact the dependent variable.
Continue reading “Decision Trees and Random Forests in R”