Week 8-9: Project 4 - Predicting House Age

We will start learning the scikit learn package while exploring the Denver, Colorado homes data for our project. Can you predict that?

Completed Readings: Machine Learning Introduction, A visual introduction to machine learning, How to choose a good evaluation metric for your Machine learning model

dwellings_denver.csv, dwellings_ml.csv, dwellings_neighborhoods_ml.csv

Grand Questions

  1. Create 2-3 charts that evaluate potential relationships between the home variables and before1980.
  2. Can you build a classification model (before or after 1980) that has at least 90% accuracy for the state of Colorado to use (explain your model choice and which models you tried)?
  3. Will you justify your classification model by detailing the most important features in your model (a chart and a description are a must)?
  4. Can you describe the quality of your classification model using 2-3 evaluation metrics?
    1. You need to explain how to interpret each evaluation metric when you provide the value.

Updated on 15 Sep 2020