python hw 2

Learning Goal: I’m working on a python multi-part question and need an explanation and answer to help me learn.

This assignment is meant to demonstrate your expertise in building a predictive model using Google Colab.

Datasets: down below

1. First answer whether the given data is appropriate for a decision tree modeling
   • Breast cancer data: is it good for decision tree or not and why?
   • Titanic data: is it good for decision tree or not and why?
   • Online retail data : is it good for decision tree or not and why?
   • Real estate data: is it good for decision tree or not and why?
2. Briefly describe about your dataset w.r.t. attributes and output variables
3. Load the dataset
4. Create a prediction model using a Decision Tree
5. In 1-2 paragraphs, explain your decision tree model

Please submit your assignment as an attachment to this dropbox using only one (1) document. Make sure you provide the following:

• Google Colab files including code and associated results (for each step).
• Explanation and interpretation of your results in 1-2 paragraphs.
• You can work as a group but submit your work individually (please indicate your group members in the document)