README.md

• Bank Marketing Data Set: UCI, Download
• Write a Jupyter notebook
  • load data (bank.csv, smaller sample), normalize, and devide training/test sets
  • randomly select 2 or 3 features
  • apply the methods covered in Ch. 3 with SK-learn (logistic regress, SVM, decision tree, etc)
  • check the accuracy and plot the outcome
  • repeat above to find better feature