CS 445 Machine Learning
Fall 2020
Introducing Seaborn and SkLearn Decision Trees
Learning Objectives
This lab is designed with the following learning
objectives:
- Analyze data with the seaborn package and produce plots
- Build and utilize a decision tree classification model using the Scikit learn package for Python
- Build and utilize a decision tree regression model in Scikit learn
Tasks
- Download the Data And SkLearn DT jupyter notebook.
- Start jupyter notebooks ( instructions here) and validate and complete the lab
- Submit the lab to Canvas