text: Title: Improving Quick Start Documentation
  Body: **Quick Start Documentation**
  In the walk through part of the documentation, correlation between actual temperature and feels like temperature were analysed. The author mentioned that it was intuitive to prioritize the feature 'feels like' over 'temp'. But for the reader, it is bit hard to understand  the reason behind author's decision on feature selection from the plot.
  
  Expectation:
  
   Could add some more details on why 'feels like' is better than 'temp' when we train machine learning models.
  
  
  ### Background
  
  https://www.datascience.com/blog/introduction-to-correlation-learn-data-science-tutorials
  
  https://newonlinecourses.science.psu.edu/stat501/node/346/
  