Reference no: EM132315820

Background:

A medium-size Australian company (imaginary) has given you one year of data about the online purchases that their customers have made. They want you to analyse the data using statistical and machine learning techniques and produce

a prediction algorithm for predicting how much money each customer is likely to spend in a year;
a classification algorithm for predicting which customers will be 'big spenders';
some recommendations on what marketing strategy they should use to attract more 'big spender' customers.

Instructions

Follow all the instructions in this notebook to complete these tasks. Note that some cells contain 'assert' statements - these will automatically mark your work so that you can check that you have done the preceeding steps correctly. (If they give errors, then go back and correct your previous work until you fix those errors. Once those 'assert' cells execute without errors, you know that you have achieved the marks for that step.)

When you have finished, this notebook is the only file that you will need to submit to Blackboard.

Note: If you want some space to try out some Python code of your own, feel free to add extra cells into this notebook. Just make sure that before you submit your notebook, that those extra cells execute without error, or that you delete them before submitting.

Overview

You have five sections to complete in this Notebook:

Part A: Load and Clean Data
Part B Data Exploration
Part C: Predicting Spending Levels
Part D: Predicting Big Spenders
Part E: Business Recommendations

Attachment:- problem.zip