To better understand the implementation of classification and regression decision trees (CARTs) I wrote a program in python which processes a dataframe and builds a classification model from test data.
Language: python3 Tools: Visual Studio Code Libraries: pandas
{Make a list of websites that you found helpful in this project}
- Display a visualization of tree for user
- Self-generate tree
- Given training data, return accurate predictions for test data